AI & Python Development Megaclass (2025) -移花宫-武林禁地，闲人禁止入内

AI & Python Development Megaclass (2025)

磁力链接/BT种子名称

AI & Python Development Megaclass (2025)

磁力链接/BT种子简介

种子哈希：2a6de9009cfe174031d55285b1e859ba3abbbeae
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收录时间：2025-09-29
最近下载：2025-10-02

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文件列表

Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/007. Day 6 - Sequence-to-Sequence Models and Applications.mp4 264.5 MB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/008. Day 7 - Pythonic Code and Project Work.mp4 189.1 MB
Chapter 05 Week 05 - Introduction to Machine Learning/004. Day 3 - Advanced Regression Models Polynomial Regression and Regularization.mp4 186.5 MB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/002. Day 1 - Introduction to Sequence Modeling and RNNs.mp4 182.8 MB
Chapter 08 Week 08 - Model Tuning and Optimization/004. Day 3 - Advanced Hyperparameter Tuning with Bayesian Optimization.mp4 165.2 MB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/008. Day 7 - CNN Project Image Classification on Fashion MNIST or CIFAR-10.mp4 156.5 MB
Chapter 05 Week 05 - Introduction to Machine Learning/008. Day 7 - Supervised Learning Mini Project.mp4 150.3 MB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/007. Day 6 - Building Neural Networks with PyTorch.mp4 150.1 MB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/003. Day 2 - Transfer Learning in Computer Vision.mp4 149.9 MB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/006. Day 5 - Fine-Tuning Techniques in NLP.mp4 142.6 MB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/008. Day 7 - Statistical Analysis Project Analyzing Real-World Data.mp4 136.5 MB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/002. Day 1 - Introduction to Convolutional Neural Networks.mp4 136.4 MB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/003. Day 2 - Understanding RNN Architecture and Backpropagation Through Time (BPTT).mp4 135.9 MB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/003. Day 2 - Control Flow in Python.mp4 134.5 MB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/006. Day 5 - Text Preprocessing and Word Embeddings for RNNs.mp4 132.8 MB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/008. Day 7 - Ensemble Learning Project Comparing Models on a Real Dataset.mp4 132.3 MB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/007. Day 6 - Data Visualization with Matplotlib and Seaborn.mp4 131.4 MB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/004. Day 3 - Pooling Layers and Dimensionality Reduction.mp4 130.0 MB
Chapter 08 Week 08 - Model Tuning and Optimization/008. Day 7 - Optimization Project Building and Tuning a Final Model.mp4 129.7 MB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/008. Day 7 - Neural Network Project Image Classification on CIFAR-10.mp4 128.3 MB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/006. Day 5 - Building CNN Architectures with PyTorch.mp4 126.2 MB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/005. Day 4 - Data Structures (Lists, Tuples, Dictionaries, Sets).mp4 122.1 MB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/004. Day 3 - Self-Attention and Multi-Head Attention in Transformers.mp4 121.7 MB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/004. Day 3 - Fine-Tuning Techniques in Computer Vision.mp4 121.6 MB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/008. Day 7 - Exploratory Data Analysis (EDA) Project.mp4 116.3 MB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/003. Day 2 - Convolutional Layers and Filters.mp4 115.8 MB
Chapter 05 Week 05 - Introduction to Machine Learning/005. Day 4 - Introduction to Classification and Logistic Regression.mp4 114.8 MB
Chapter 14 Week 01 - Python Basics/001. Learn Python from Scratch Quick Tutorial.mp4 113.5 MB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/007. Day 6 - Advanced Transformers BERT Variants and GPT-3.mp4 113.1 MB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/005. Day 4 - Gradient Descent and Optimization Techniques.mp4 111.0 MB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/006. Day 5 - Hands-On with Pre-Trained Transformers BERT and GPT.mp4 109.5 MB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/006. Day 5 - Probability Theory and Distributions.mp4 108.5 MB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/006. Day 5 - LightGBM and CatBoost.mp4 108.1 MB
Chapter 08 Week 08 - Model Tuning and Optimization/007. Day 6 - Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4 107.8 MB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/005. Day 4 - Positional Encoding and Feed-Forward Networks.mp4 106.8 MB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/008. Day 7 - Cross-Validation and Hyperparameter Tuning.mp4 104.4 MB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/008. Day 7 - Transformer Project Text Summarization or Translation.mp4 102.3 MB
Chapter 16 Week 03 - Working with Data/007. Day 21 - Wikipedia Article Scraper Web Scraping.mp4 102.2 MB
Chapter 21 Days 50_60 - Intermediate Projects/001. Day 50 - Weather Dashboard App.mp4 101.2 MB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/005. Day 4 - Introduction to XGBoost.mp4 100.4 MB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/008. Day 7 - Transfer Learning Project Fine-Tuning for a Custom Task.mp4 99.9 MB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/006. Day 5 - Building Neural Networks with TensorFlow and Keras.mp4 98.9 MB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/008. Day 7 - RNN Project Text Generation or Sentiment Analysis.mp4 98.1 MB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/005. Day 4 - Data Cleaning and Preparation with Pandas.mp4 98.0 MB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/002. Day 1 - Introduction to NumPy for Numerical Computing.mp4 95.9 MB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/004. Day 3 - Introduction to Pandas for Data Manipulation.mp4 93.2 MB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/007. Day 6 - Regularization and Data Augmentation for CNNs.mp4 93.1 MB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/005. Day 4 - Transfer Learning in NLP.mp4 92.0 MB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/007. Day 6 - File Handling.mp4 91.5 MB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/006. Day 5 - Working with Strings.mp4 91.3 MB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/003. Day 2 - Advanced NumPy Operations.mp4 91.0 MB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/003. Day 2 - Introduction to Transformers Architecture.mp4 90.6 MB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/003. Day 73 - Handwriting Digit Recognition.mp4 90.2 MB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/006. Day 5 - Creating and Transforming Features.mp4 89.0 MB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/001. Day 71 - Spam Email Detector.mp4 88.3 MB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/002. Day 1 - Linear Algebra Fundamentals.mp4 88.1 MB
Chapter 21 Days 50_60 - Intermediate Projects/004. Day 53 - Tic-Tac-Toe Game.mp4 87.3 MB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/005. Day 4 - Building CNN Architectures with Keras and TensorFlow.mp4 87.2 MB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/007. Day 6 - Handling Imbalanced Data.mp4 86.1 MB
Chapter 05 Week 05 - Introduction to Machine Learning/007. Day 6 - k-Nearest Neighbors (k-NN) Algorithm.mp4 85.2 MB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/004. Day 3 - Functions and Modules.mp4 85.2 MB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/007. Day 6 - Statistics Fundamentals.mp4 84.7 MB
Chapter 17 Week 04 - Object-Oriented Programming/003. Day 24 - Employee Management System Inheritance.mp4 84.5 MB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/003. Day 2 - Advanced Linear Algebra Concepts.mp4 84.0 MB
Chapter 15 Week 02 - Intermediate Python/001. Day 8 - Contact Book Dictionaries.mp4 83.6 MB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/007. Day 6 - Domain Adaptation and Transfer Learning Challenges.mp4 83.5 MB
Chapter 08 Week 08 - Model Tuning and Optimization/003. Day 2 - Grid Search and Random Search.mp4 83.5 MB
Chapter 20 Week 07 - Data Science Basics/004. Day 46 - Sales Report Analyzer Data Analysis.mp4 83.3 MB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/002. Day 1 - Introduction to Transfer Learning.mp4 82.5 MB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/006. Day 5 - Types of Hypothesis Tests.mp4 82.1 MB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/003. Day 2 - Data Scaling and Normalization.mp4 81.6 MB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/004. Day 3 - Boosting and Gradient Boosting.mp4 80.9 MB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/004. Day 3 - Encoding Categorical Variables.mp4 80.8 MB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/002. Day 1 - Introduction to Python and Development Setup.mp4 80.5 MB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/005. Day 4 - Feature Selection Techniques.mp4 79.4 MB
Chapter 19 Week 06 - Web Development with Python/002. Day 37 - Personal Blog Website Routes & Templates.mp4 78.1 MB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/004. Day 3 - Calculus for Machine Learning (Derivatives).mp4 77.1 MB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/007. Day 6 - Correlation and Regression Analysis.mp4 77.1 MB
Chapter 21 Days 50_60 - Intermediate Projects/009. Day 58 - Pomodoro Timer.mp4 76.4 MB
Chapter 16 Week 03 - Working with Data/005. Day 19 - Weather App Using API APIs (Basics).mp4 75.1 MB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/002. Day 1 - Probability Theory and Random Variables.mp4 75.1 MB
Chapter 21 Days 50_60 - Intermediate Projects/006. Day 55 - Music Playlist Organizer.mp4 74.6 MB
Chapter 17 Week 04 - Object-Oriented Programming/001. Day 22 - Bank Account Simulator Classes & Objects.mp4 73.3 MB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/004. Day 3 - Loss Functions and Backpropagation.mp4 73.1 MB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/004. Day 3 - Long Short-Term Memory (LSTM) Networks.mp4 72.8 MB
Chapter 16 Week 03 - Working with Data/004. Day 18 - Mini To-Do App JSON Files.mp4 72.8 MB
Chapter 20 Week 07 - Data Science Basics/006. Day 48 - Stock Price Tracker Data Scraping.mp4 72.4 MB
Chapter 18 Week 05 - GUI Programming/007. Day 35 - Expense Tracker App GUI Capstone.mp4 72.3 MB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/003. Day 2 - Probability Distributions in Machine Learning.mp4 71.4 MB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/008. Day 7 - Math-Driven Mini Project Linear Regression from Scratch.mp4 71.1 MB
Chapter 05 Week 05 - Introduction to Machine Learning/006. Day 5 - Model Evaluation and Cross-Validation.mp4 71.0 MB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/002. Day 1 - Introduction to Deep Learning and Neural Networks.mp4 70.8 MB
Chapter 08 Week 08 - Model Tuning and Optimization/005. Day 4 - Regularization Techniques for Model Optimization.mp4 70.8 MB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/002. Day 1 - Introduction to Attention Mechanisms.mp4 70.3 MB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/003. Day 2 - Bagging and Random Forests.mp4 70.2 MB
Chapter 17 Week 04 - Object-Oriented Programming/005. Day 26 - Secure User Profile App Encapsulation.mp4 70.0 MB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/007. Day 6 - Model Evaluation Techniques.mp4 70.0 MB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/002. Day 1 - Introduction to Ensemble Learning.mp4 69.9 MB
Chapter 20 Week 07 - Data Science Basics/007. Day 49 - COVID-19 Dashboard Capstone Project.mp4 69.8 MB
Chapter 19 Week 06 - Web Development with Python/006. Day 41 - Deploy Flask App Deployment.mp4 68.7 MB
Chapter 08 Week 08 - Model Tuning and Optimization/002. Day 1 - Introduction to Hyperparameter Tuning.mp4 68.0 MB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/005. Day 65 - Portfolio Website Backend.mp4 67.6 MB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/002. Day 1 - Introduction to Feature Engineering.mp4 67.3 MB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/004. Day 3 - Statistical Inference Estimation and Confidence Intervals.mp4 67.3 MB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/003. Day 2 - Forward Propagation and Activation Functions.mp4 67.1 MB
Chapter 21 Days 50_60 - Intermediate Projects/011. Day 60 - Personal Diary App.mp4 67.0 MB
Chapter 19 Week 06 - Web Development with Python/005. Day 40 - Mini Weather API REST APIs.mp4 66.6 MB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/010. Day 70 - Data Visualizer App.mp4 66.5 MB
Chapter 18 Week 05 - GUI Programming/004. Day 32 - Drawing Pad App Canvas Widgets.mp4 66.0 MB
Chapter 05 Week 05 - Introduction to Machine Learning/002. Day 1 - Machine Learning Basics and Terminology.mp4 65.1 MB
Chapter 15 Week 02 - Intermediate Python/003. Day 10 - Note-Taking App File Handling.mp4 64.4 MB
Chapter 08 Week 08 - Model Tuning and Optimization/006. Day 5 - Cross-Validation and Model Evaluation Techniques.mp4 64.3 MB
Chapter 17 Week 04 - Object-Oriented Programming/006. Day 27 - Inventory Management System Static & Class Methods.mp4 64.2 MB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/005. Day 4 - Calculus for Machine Learning (Integrals and Optimization).mp4 63.8 MB
Chapter 18 Week 05 - GUI Programming/003. Day 31 - BMI Calculator Input Fields.mp4 63.6 MB
Chapter 20 Week 07 - Data Science Basics/005. Day 47 - Temperature Plotter Plotting Trends.mp4 63.2 MB
Chapter 17 Week 04 - Object-Oriented Programming/002. Day 23 - Library Management System Constructors & Methods.mp4 62.9 MB
Chapter 19 Week 06 - Web Development with Python/004. Day 39 - User Registration App Database Integration.mp4 62.6 MB
Chapter 21 Days 50_60 - Intermediate Projects/002. Day 51 - Expense Tracker.mp4 62.5 MB
Chapter 05 Week 05 - Introduction to Machine Learning/003. Day 2 - Introduction to Supervised Learning and Regression Models.mp4 62.3 MB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/006. Day 5 - Data Aggregation and Grouping in Pandas.mp4 61.8 MB
Chapter 14 Week 01 - Python Basics/008. Day 7 - Shopping List App Lists.mp4 61.7 MB
Chapter 16 Week 03 - Working with Data/003. Day 17 - Student Report Generator CSV Files.mp4 61.4 MB
Chapter 17 Week 04 - Object-Oriented Programming/007. Day 28 - Mini ATM Machine Final OOP Project.mp4 61.2 MB
Chapter 18 Week 05 - GUI Programming/002. Day 30 - Click Counter App Buttons & Events.mp4 60.4 MB
Chapter 16 Week 03 - Working with Data/002. Day 16 - Daily Journal Logger Writing Files.mp4 59.7 MB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/010. Day 80 - Fake News Detector.mp4 59.5 MB
Chapter 16 Week 03 - Working with Data/006. Day 20 - Event Countdown Timer Dates & Time.mp4 59.1 MB
Chapter 18 Week 05 - GUI Programming/006. Day 34 - To-Do List GUI Advanced Widgets.mp4 59.1 MB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/005. Day 75 - Face Detection App.mp4 59.0 MB
Chapter 14 Week 01 - Python Basics/007. Day 6 - Basic Math Quiz Game Functions.mp4 58.9 MB
Chapter 15 Week 02 - Intermediate Python/004. Day 11 - Safe Calculator Exception Handling.mp4 58.6 MB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/004. Day 74 - Voice Assistant.mp4 58.5 MB
Chapter 18 Week 05 - GUI Programming/001. Day 29 - Simple GUI App Tkinter Basics.mp4 58.0 MB
Chapter 21 Days 50_60 - Intermediate Projects/010. Day 59 - Markdown to HTML Converter.mp4 58.0 MB
Chapter 16 Week 03 - Working with Data/001. Day 15 - Recipe Viewer App Reading Files.mp4 58.0 MB
Chapter 20 Week 07 - Data Science Basics/003. Day 45 - Graph Plotter Matplotlib.mp4 57.0 MB
Chapter 21 Days 50_60 - Intermediate Projects/003. Day 52 - File Organizer Tool.mp4 56.7 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/021. 20. Deep Q-Networks (DQN) Implementation.mp4 56.6 MB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/003. Day 63 - Movie Recommendation System.mp4 56.4 MB
Chapter 15 Week 02 - Intermediate Python/007. Day 14 - Random Password Generator Modules & Libraries.mp4 55.8 MB
Chapter 18 Week 05 - GUI Programming/005. Day 33 - Simple Login System Message Boxes.mp4 55.5 MB
Chapter 15 Week 02 - Intermediate Python/005. Day 12 - Temperature Converter Functions with Return Values.mp4 54.4 MB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/008. Day 68 - Task Scheduler.mp4 54.2 MB
Chapter 19 Week 06 - Web Development with Python/001. Day 36 - Hello Flask App Flask Basics.mp4 53.8 MB
Chapter 20 Week 07 - Data Science Basics/001. Day 43 - Matrix Calculator NumPy.mp4 53.6 MB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/007. Day 67 - Stock Market Dashboard.mp4 53.2 MB
Chapter 21 Days 50_60 - Intermediate Projects/008. Day 57 - ASCII Art Generator.mp4 53.1 MB
Chapter 15 Week 02 - Intermediate Python/002. Day 9 - Ingredient Checker Tuples & Sets.mp4 52.8 MB
Chapter 17 Week 04 - Object-Oriented Programming/004. Day 25 - Animal Sound Simulator Polymorphism.mp4 51.6 MB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/006. Day 76 - Simple Recommendation System.mp4 51.2 MB
Chapter 21 Days 50_60 - Intermediate Projects/007. Day 56 - Personal Budget Planner.mp4 50.0 MB
Chapter 15 Week 02 - Intermediate Python/006. Day 13 - Student Grade Manager List Comprehensions.mp4 49.3 MB
Chapter 19 Week 06 - Web Development with Python/007. Day 42 - Portfolio Website Flask Capstone.mp4 48.6 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/028. 27. Transformers Implementation.mp4 48.1 MB
Chapter 14 Week 01 - Python Basics/004. Day 3 - Simple Calculator User Input & String Formatting.mp4 48.0 MB
z.9781806679652/Code_files/Week09/Day6/data/MNIST/raw/train-images-idx3-ubyte 47.0 MB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/007. Day 77 - AI Chatbot with NLP.mp4 46.8 MB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/002. Day 62 - Automated Backup Tool.mp4 46.8 MB
Chapter 20 Week 07 - Data Science Basics/002. Day 44 - Data Cleaner Pandas.mp4 46.7 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/022. 21. Policy Gradient Methods Implementation.mp4 46.3 MB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/001. Day 61 - Social Media Scraper.mp4 44.9 MB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/005. Day 4 - Hypothesis Testing and P-Values.mp4 44.2 MB
Chapter 19 Week 06 - Web Development with Python/003. Day 38 - Contact Form App Forms & User Input.mp4 42.7 MB
Chapter 14 Week 01 - Python Basics/005. Day 4 - Number Comparison Tool If-Else Statements.mp4 42.6 MB
Chapter 14 Week 01 - Python Basics/003. Day 2 - Personalized Greeting Program Variables & Data Types.mp4 42.4 MB
Chapter 14 Week 01 - Python Basics/002. Day 1 - Welcome Message Generator Print Statements & Hello World.mp4 41.1 MB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/002. Day 72 - Text Sentiment Analyzer.mp4 39.8 MB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/008. Day 78 - Object Detection App.mp4 39.6 MB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/009. Day 69 - Currency Converter.mp4 38.5 MB
Chapter 14 Week 01 - Python Basics/006. Day 5 - Countdown Timer Loops (for & while).mp4 34.9 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/025. 24. Convolutional Neural Networks (CNNs) Implementation.mp4 34.6 MB
Chapter 21 Days 50_60 - Intermediate Projects/005. Day 54 - Mini Chatbot.mp4 34.5 MB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/009. Day 79 - Language Translator Tool.mp4 34.3 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/020. 19. Q-Learning Implementation.mp4 34.2 MB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/004. Day 64 - PDF Merger Tool.mp4 33.6 MB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/005. Day 4 - Gated Recurrent Units (GRUs).mp4 33.3 MB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/006. Day 66 - Flashcards Learning App.mp4 31.8 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/026. 25. Recurrent Neural Networks (RNNs) Implementation.mp4 30.5 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/018. 17. Unsupervised Learning Algorithms - Autoencoders Implementation.mp4 29.5 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/027. 26. Long Short-Term Memory (LSTM) Implementation.mp4 29.4 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/019. 18. Self-Training Implementation.mp4 26.6 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/003. 2. Supervised Learning Algorithms - Ridge and Lasso Regression Implementation.mp4 26.2 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/004. 3. Supervised Learning Algorithms - Polynomial Regression Implementation.mp4 24.0 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/007. 6. Supervised Learning Algorithms - Support Vector Machines (SVM) Implementation.mp4 21.1 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/010. 9. Supervised Learning Algorithms - Gradient Boosting Implementation.mp4 21.0 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/008. 7. Supervised Learning Algorithms - Decision Trees Implementation.mp4 20.5 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/009. 8. Supervised Learning Algorithms - Random Forests Implementation.mp4 20.0 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/006. 5. Supervised Learning Algorithms - K-Nearest Neighbors (KNN) Implementation.mp4 19.9 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/002. 1. Supervised Learning Algorithms - Linear Regression Implementation.mp4 19.1 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/011. 10. Supervised Learning Algorithms - Naive Bayes Implementation.mp4 18.6 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/005. 4. Supervised Learning Algorithms - Logistic Regression Implementation.mp4 18.2 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/024. 23. Isolation Forest Implementation.mp4 17.6 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/013. 12. Unsupervised Learning Algorithms - Hierarchical Clustering Implementation.mp4 16.9 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/017. 16. Unsupervised Learning Algorithms - t-Distributed Stochastic Neighbor Embedding.mp4 16.4 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/023. 22. One-Class SVM Implementation.mp4 15.7 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/015. 14. Unsupervised Learning Algorithms - Gaussian Mixture Models (GMM).mp4 14.6 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/016. 15. Unsupervised Learning Algorithms - Principal Component Analysis (PCA).mp4 14.6 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/014. 13. Unsupervised Learning Algorithms - DBSCAN.mp4 14.0 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/012. 11. Unsupervised Learning Algorithms - K-Means Clustering Implementation.mp4 12.4 MB
z.9781806679652/Code_files/Week09/Day6/data/MNIST/raw/train-images-idx3-ubyte.gz 9.9 MB
z.9781806679652/Code_files/Week09/Day5/mnist_classifier.h5 8.4 MB
z.9781806679652/Code_files/Week09/Day6/data/MNIST/raw/t10k-images-idx3-ubyte 7.8 MB
Chapter 24 Machine Learning Algorithms and Implementation in Python/001. Introduction to Machine Learning Algorithms and Implementation in Python.mp4 7.4 MB
z.9781806679652/AIBootcamp.pdf 2.5 MB
Chapter 08 Week 08 - Model Tuning and Optimization/001. Introduction to Week 8 Model Tuning and Optimization.mp4 2.3 MB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/001. Introduction to Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling.mp4 2.2 MB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/001. Introduction to Week 12 - Transformers and Attention Mechanisms.mp4 2.2 MB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/001. Introduction to Week 10 Convolutional Neural Networks (CNNs).mp4 2.1 MB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/001. Introduction to Week 9 Neural Networks and Deep Learning Fundamentals.mp4 2.1 MB
Chapter 05 Week 05 - Introduction to Machine Learning/001. Introduction to Week 5 Introduction to Machine Learning.mp4 2.1 MB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/001. Introduction to Week 4 Probability and Statistics for Machine Learning.mp4 2.0 MB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/001. Introduction to Week 3 Mathematics for Machine Learning.mp4 1.8 MB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/001. Introduction to Week 13 - Transfer Learning and Fine-Tuning.mp4 1.8 MB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/001. Introduction to Week 2 Data Science Essentials.mp4 1.8 MB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/001. Introduction to Week 6 Feature Engineering and Model Evaluation.mp4 1.7 MB
z.9781806679652/Code_files/Week09/Day6/data/MNIST/raw/t10k-images-idx3-ubyte.gz 1.6 MB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/001. Introduction to Week 7 Advanced Machine Learning Algorithms.mp4 1.6 MB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/001. Introduction to Week 1 Python Programming Basics.mp4 1.5 MB
z.9781806679652/Python100Days_Code/Day42/portfolio_app/.git/objects/38/97fcf407843bf94931b5418c2a1cd112f5f7f9 1.1 MB
z.9781806679652/Python100Days_Code/Day42/portfolio_app/static/images/project1.png 1.1 MB
z.9781806679652/Code_files/Week08/Day7/Telco-Customer-Churn.csv 977.5 kB
z.9781806679652/Python100Days_Code/Python.pptx 841.5 kB
z.9781806679652/Python100Days_Code/Day42/portfolio_app/static/images/profile.jpg 733.3 kB
z.9781806679652/Python100Days_Code/Day42/portfolio_app/.git/objects/da/9e873ac790c71e41d9ccfe19e78608ccaf0aa9 727.6 kB
z.9781806679652/Python100Days.pdf 536.8 kB
z.9781806679652/Python100Days_Code/Day71/spam.csv 503.7 kB
z.9781806679652/Code_files/Week09/Day6/mnist_model.pth 440.2 kB
z.9781806679652/Python100Days_Code/Day57/donald.png 253.9 kB
z.9781806679652/Python100Days_Code/Day78/test_image.jpg 221.0 kB
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z.9781806679652/Python100Days_Code/Day75/face.jpg 112.8 kB
z.9781806679652/Code_files/Week07/Day5/catboost_info/catboost_training.json 99.0 kB
z.9781806679652/Python100Days_Code/Day47/test.png 96.5 kB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/007. Day 6 - Sequence-to-Sequence Models and Applications.en.srt 65.8 kB
Chapter 14 Week 01 - Python Basics/001. Learn Python from Scratch Quick Tutorial.en.srt 63.4 kB
z.9781806679652/Code_files/Week09/Day6/data/MNIST/raw/train-labels-idx1-ubyte 60.0 kB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/008. Day 7 - Pythonic Code and Project Work.en.srt 57.8 kB
z.9781806679652/Code_files/Week06/Day5/bike_sharing_daily.csv 57.6 kB
z.9781806679652/Code_files/Week07/Day5/catboost_info/learn/events.out.tfevents 54.9 kB
Chapter 05 Week 05 - Introduction to Machine Learning/004. Day 3 - Advanced Regression Models Polynomial Regression and Regularization.en.srt 51.5 kB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/002. Day 1 - Introduction to Sequence Modeling and RNNs.en.srt 51.3 kB
z.9781806679652/Python100Days_Code/Day1_Day28/Day1_Day28.zip 50.7 kB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/003. Day 2 - Control Flow in Python.en.srt 48.8 kB
Chapter 19 Week 06 - Web Development with Python/002. Day 37 - Personal Blog Website Routes & Templates.en.srt 47.5 kB
Chapter 21 Days 50_60 - Intermediate Projects/001. Day 50 - Weather Dashboard App.en.srt 45.7 kB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/005. Day 4 - Data Structures (Lists, Tuples, Dictionaries, Sets).en.srt 45.3 kB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/008. Day 7 - CNN Project Image Classification on Fashion MNIST or CIFAR-10.en.srt 40.6 kB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/007. Day 6 - Building Neural Networks with PyTorch.en.srt 40.2 kB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/003. Day 2 - Transfer Learning in Computer Vision.en.srt 40.1 kB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/003. Day 73 - Handwriting Digit Recognition.en.srt 39.8 kB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/002. Day 1 - Introduction to Convolutional Neural Networks.en.srt 39.7 kB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/007. Day 6 - Data Visualization with Matplotlib and Seaborn.en.srt 39.4 kB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/006. Day 5 - Fine-Tuning Techniques in NLP.en.srt 39.1 kB
Chapter 21 Days 50_60 - Intermediate Projects/004. Day 53 - Tic-Tac-Toe Game.en.srt 39.0 kB
Chapter 08 Week 08 - Model Tuning and Optimization/004. Day 3 - Advanced Hyperparameter Tuning with Bayesian Optimization.en.srt 38.1 kB
Chapter 20 Week 07 - Data Science Basics/004. Day 46 - Sales Report Analyzer Data Analysis.en.srt 37.8 kB
Chapter 05 Week 05 - Introduction to Machine Learning/008. Day 7 - Supervised Learning Mini Project.en.srt 37.8 kB
Chapter 17 Week 04 - Object-Oriented Programming/003. Day 24 - Employee Management System Inheritance.en.srt 37.7 kB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/005. Day 4 - Data Cleaning and Preparation with Pandas.en.srt 37.2 kB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/006. Day 5 - Working with Strings.en.srt 36.6 kB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/008. Day 7 - Statistical Analysis Project Analyzing Real-World Data.en.srt 36.4 kB
Chapter 18 Week 05 - GUI Programming/004. Day 32 - Drawing Pad App Canvas Widgets.en.srt 36.2 kB
Chapter 18 Week 05 - GUI Programming/002. Day 30 - Click Counter App Buttons & Events.en.srt 36.0 kB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/001. Day 71 - Spam Email Detector.en.srt 36.0 kB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/006. Day 5 - Probability Theory and Distributions.en.srt 35.8 kB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/003. Day 2 - Understanding RNN Architecture and Backpropagation Through Time (BPTT).en.srt 35.8 kB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/004. Day 3 - Pooling Layers and Dimensionality Reduction.en.srt 35.8 kB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/004. Day 3 - Functions and Modules.en.srt 35.5 kB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/003. Day 2 - Convolutional Layers and Filters.en.srt 35.4 kB
Chapter 16 Week 03 - Working with Data/007. Day 21 - Wikipedia Article Scraper Web Scraping.en.srt 35.3 kB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/007. Day 6 - File Handling.en.srt 35.3 kB
Chapter 05 Week 05 - Introduction to Machine Learning/005. Day 4 - Introduction to Classification and Logistic Regression.en.srt 35.0 kB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/006. Day 5 - Text Preprocessing and Word Embeddings for RNNs.en.srt 34.6 kB
Chapter 18 Week 05 - GUI Programming/003. Day 31 - BMI Calculator Input Fields.en.srt 34.2 kB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/008. Day 7 - Exploratory Data Analysis (EDA) Project.en.srt 34.1 kB
Chapter 18 Week 05 - GUI Programming/007. Day 35 - Expense Tracker App GUI Capstone.en.srt 34.0 kB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/006. Day 5 - Building CNN Architectures with PyTorch.en.srt 33.9 kB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/005. Day 65 - Portfolio Website Backend.en.srt 33.9 kB
Chapter 15 Week 02 - Intermediate Python/001. Day 8 - Contact Book Dictionaries.en.srt 33.6 kB
Chapter 21 Days 50_60 - Intermediate Projects/006. Day 55 - Music Playlist Organizer.en.srt 33.6 kB
Chapter 08 Week 08 - Model Tuning and Optimization/008. Day 7 - Optimization Project Building and Tuning a Final Model.en.srt 33.5 kB
Chapter 21 Days 50_60 - Intermediate Projects/009. Day 58 - Pomodoro Timer.en.srt 33.5 kB
Chapter 18 Week 05 - GUI Programming/001. Day 29 - Simple GUI App Tkinter Basics.en.srt 33.3 kB
Chapter 17 Week 04 - Object-Oriented Programming/001. Day 22 - Bank Account Simulator Classes & Objects.en.srt 33.2 kB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/004. Day 3 - Fine-Tuning Techniques in Computer Vision.en.srt 33.1 kB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/008. Day 7 - Ensemble Learning Project Comparing Models on a Real Dataset.en.srt 33.1 kB
Chapter 19 Week 06 - Web Development with Python/001. Day 36 - Hello Flask App Flask Basics.en.srt 33.0 kB
Chapter 18 Week 05 - GUI Programming/006. Day 34 - To-Do List GUI Advanced Widgets.en.srt 32.7 kB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/003. Day 2 - Advanced NumPy Operations.en.srt 32.5 kB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/002. Day 1 - Introduction to NumPy for Numerical Computing.en.srt 32.5 kB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/008. Day 7 - Neural Network Project Image Classification on CIFAR-10.en.srt 32.2 kB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/005. Day 4 - Gradient Descent and Optimization Techniques.en.srt 32.1 kB
Chapter 20 Week 07 - Data Science Basics/007. Day 49 - COVID-19 Dashboard Capstone Project.en.srt 31.8 kB
z.9781806679652/Code_files/Week05/Day7/Telco-Customer-Churn.csv 31.3 kB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/007. Day 6 - Advanced Transformers BERT Variants and GPT-3.en.srt 31.2 kB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/005. Day 4 - Positional Encoding and Feed-Forward Networks.en.srt 31.1 kB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/002. Day 1 - Linear Algebra Fundamentals.en.srt 31.0 kB
Chapter 19 Week 06 - Web Development with Python/006. Day 41 - Deploy Flask App Deployment.en.srt 31.0 kB
Chapter 19 Week 06 - Web Development with Python/004. Day 39 - User Registration App Database Integration.en.srt 30.9 kB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/004. Day 3 - Self-Attention and Multi-Head Attention in Transformers.en.srt 30.8 kB
Chapter 18 Week 05 - GUI Programming/005. Day 33 - Simple Login System Message Boxes.en.srt 30.6 kB
Chapter 16 Week 03 - Working with Data/005. Day 19 - Weather App Using API APIs (Basics).en.srt 30.5 kB
Chapter 01 Week 01 - Python Programming Basics for Artificial Intelligence/002. Day 1 - Introduction to Python and Development Setup.en.srt 30.4 kB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/006. Day 5 - LightGBM and CatBoost.en.srt 30.2 kB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/005. Day 75 - Face Detection App.en.srt 30.1 kB
Chapter 17 Week 04 - Object-Oriented Programming/005. Day 26 - Secure User Profile App Encapsulation.en.srt 29.9 kB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/006. Day 5 - Hands-On with Pre-Trained Transformers BERT and GPT.en.srt 29.9 kB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/004. Day 3 - Introduction to Pandas for Data Manipulation.en.srt 29.7 kB
Chapter 21 Days 50_60 - Intermediate Projects/011. Day 60 - Personal Diary App.en.srt 29.7 kB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/006. Day 5 - Building Neural Networks with TensorFlow and Keras.en.srt 29.5 kB
Chapter 20 Week 07 - Data Science Basics/001. Day 43 - Matrix Calculator NumPy.en.srt 29.5 kB
Chapter 14 Week 01 - Python Basics/008. Day 7 - Shopping List App Lists.en.srt 29.4 kB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/008. Day 7 - Cross-Validation and Hyperparameter Tuning.en.srt 29.3 kB
Chapter 15 Week 02 - Intermediate Python/003. Day 10 - Note-Taking App File Handling.en.srt 28.9 kB
z.9781806679652/Code_files/Week09/Day6/data/MNIST/raw/train-labels-idx1-ubyte.gz 28.9 kB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/003. Day 2 - Advanced Linear Algebra Concepts.en.srt 28.8 kB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/010. Day 70 - Data Visualizer App.en.srt 28.6 kB
Chapter 20 Week 07 - Data Science Basics/005. Day 47 - Temperature Plotter Plotting Trends.en.srt 28.5 kB
Chapter 20 Week 07 - Data Science Basics/006. Day 48 - Stock Price Tracker Data Scraping.en.srt 28.4 kB
Chapter 21 Days 50_60 - Intermediate Projects/003. Day 52 - File Organizer Tool.en.srt 28.3 kB
Chapter 21 Days 50_60 - Intermediate Projects/002. Day 51 - Expense Tracker.en.srt 28.3 kB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/008. Day 7 - RNN Project Text Generation or Sentiment Analysis.en.srt 28.3 kB
Chapter 19 Week 06 - Web Development with Python/005. Day 40 - Mini Weather API REST APIs.en.srt 28.3 kB
Chapter 16 Week 03 - Working with Data/004. Day 18 - Mini To-Do App JSON Files.en.srt 28.2 kB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/008. Day 7 - Transfer Learning Project Fine-Tuning for a Custom Task.en.srt 28.2 kB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/004. Day 74 - Voice Assistant.en.srt 28.0 kB
Chapter 20 Week 07 - Data Science Basics/003. Day 45 - Graph Plotter Matplotlib.en.srt 28.0 kB
Chapter 17 Week 04 - Object-Oriented Programming/006. Day 27 - Inventory Management System Static & Class Methods.en.srt 27.9 kB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/003. Day 2 - Introduction to Transformers Architecture.en.srt 27.9 kB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/005. Day 4 - Introduction to XGBoost.en.srt 27.7 kB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/007. Day 6 - Regularization and Data Augmentation for CNNs.en.srt 27.7 kB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/008. Day 7 - Transformer Project Text Summarization or Translation.en.srt 27.6 kB
Chapter 20 Week 07 - Data Science Basics/002. Day 44 - Data Cleaner Pandas.en.srt 27.6 kB
Chapter 17 Week 04 - Object-Oriented Programming/007. Day 28 - Mini ATM Machine Final OOP Project.en.srt 27.4 kB
Chapter 17 Week 04 - Object-Oriented Programming/002. Day 23 - Library Management System Constructors & Methods.en.srt 27.4 kB
Chapter 08 Week 08 - Model Tuning and Optimization/007. Day 6 - Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.en.srt 27.3 kB
Chapter 21 Days 50_60 - Intermediate Projects/010. Day 59 - Markdown to HTML Converter.en.srt 27.0 kB
z.9781806679652/Python100Days_Code/Day45/graph.png 26.8 kB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/004. Day 3 - Calculus for Machine Learning (Derivatives).en.srt 26.7 kB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/006. Day 5 - Types of Hypothesis Tests.en.srt 26.5 kB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/007. Day 6 - Statistics Fundamentals.en.srt 26.5 kB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/002. Day 1 - Probability Theory and Random Variables.en.srt 26.4 kB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/005. Day 4 - Building CNN Architectures with Keras and TensorFlow.en.srt 26.3 kB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/006. Day 5 - Creating and Transforming Features.en.srt 26.3 kB
Chapter 15 Week 02 - Intermediate Python/007. Day 14 - Random Password Generator Modules & Libraries.en.srt 26.3 kB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/003. Day 63 - Movie Recommendation System.en.srt 25.8 kB
Chapter 05 Week 05 - Introduction to Machine Learning/007. Day 6 - k-Nearest Neighbors (k-NN) Algorithm.en.srt 25.7 kB
Chapter 15 Week 02 - Intermediate Python/004. Day 11 - Safe Calculator Exception Handling.en.srt 25.6 kB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/007. Day 6 - Handling Imbalanced Data.en.srt 25.5 kB
Chapter 19 Week 06 - Web Development with Python/007. Day 42 - Portfolio Website Flask Capstone.en.srt 25.4 kB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/007. Day 6 - Correlation and Regression Analysis.en.srt 25.4 kB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/002. Day 1 - Introduction to Deep Learning and Neural Networks.en.srt 25.4 kB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/003. Day 2 - Probability Distributions in Machine Learning.en.srt 25.3 kB
Chapter 15 Week 02 - Intermediate Python/002. Day 9 - Ingredient Checker Tuples & Sets.en.srt 25.2 kB
Chapter 14 Week 01 - Python Basics/007. Day 6 - Basic Math Quiz Game Functions.en.srt 25.2 kB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/005. Day 4 - Transfer Learning in NLP.en.srt 25.2 kB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/004. Day 3 - Encoding Categorical Variables.en.srt 25.1 kB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/007. Day 67 - Stock Market Dashboard.en.srt 25.0 kB
Chapter 16 Week 03 - Working with Data/002. Day 16 - Daily Journal Logger Writing Files.en.srt 24.7 kB
Chapter 21 Days 50_60 - Intermediate Projects/008. Day 57 - ASCII Art Generator.en.srt 24.6 kB
Chapter 16 Week 03 - Working with Data/003. Day 17 - Student Report Generator CSV Files.en.srt 24.4 kB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/005. Day 4 - Calculus for Machine Learning (Integrals and Optimization).en.srt 24.4 kB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/008. Day 68 - Task Scheduler.en.srt 24.4 kB
Chapter 16 Week 03 - Working with Data/001. Day 15 - Recipe Viewer App Reading Files.en.srt 24.3 kB
Chapter 08 Week 08 - Model Tuning and Optimization/003. Day 2 - Grid Search and Random Search.en.srt 24.1 kB
Chapter 17 Week 04 - Object-Oriented Programming/004. Day 25 - Animal Sound Simulator Polymorphism.en.srt 24.0 kB
Chapter 16 Week 03 - Working with Data/006. Day 20 - Event Countdown Timer Dates & Time.en.srt 24.0 kB
Chapter 05 Week 05 - Introduction to Machine Learning/003. Day 2 - Introduction to Supervised Learning and Regression Models.en.srt 23.9 kB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/007. Day 6 - Model Evaluation Techniques.en.srt 23.8 kB
Chapter 05 Week 05 - Introduction to Machine Learning/006. Day 5 - Model Evaluation and Cross-Validation.en.srt 23.7 kB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/003. Day 2 - Data Scaling and Normalization.en.srt 23.6 kB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/002. Day 1 - Introduction to Transfer Learning.en.srt 23.5 kB
Chapter 15 Week 02 - Intermediate Python/005. Day 12 - Temperature Converter Functions with Return Values.en.srt 23.5 kB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/005. Day 4 - Feature Selection Techniques.en.srt 23.3 kB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/006. Day 76 - Simple Recommendation System.en.srt 23.3 kB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/004. Day 3 - Boosting and Gradient Boosting.en.srt 23.2 kB
Chapter 05 Week 05 - Introduction to Machine Learning/002. Day 1 - Machine Learning Basics and Terminology.en.srt 23.0 kB
Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/007. Day 6 - Domain Adaptation and Transfer Learning Challenges.en.srt 22.8 kB
Chapter 19 Week 06 - Web Development with Python/003. Day 38 - Contact Form App Forms & User Input.en.srt 22.7 kB
Chapter 21 Days 50_60 - Intermediate Projects/007. Day 56 - Personal Budget Planner.en.srt 22.7 kB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/002. Day 62 - Automated Backup Tool.en.srt 22.7 kB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/010. Day 80 - Fake News Detector.en.srt 22.6 kB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/004. Day 3 - Long Short-Term Memory (LSTM) Networks.en.srt 22.4 kB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/004. Day 3 - Loss Functions and Backpropagation.en.srt 22.4 kB
Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/006. Day 5 - Data Aggregation and Grouping in Pandas.en.srt 22.4 kB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/002. Day 1 - Introduction to Ensemble Learning.en.srt 22.2 kB
Chapter 03 Week 03 - Mathematics for Machine Learning and Artificial Intelligence/008. Day 7 - Math-Driven Mini Project Linear Regression from Scratch.en.srt 22.1 kB
Chapter 06 Week 06 - Feature Engineering and Model Evaluation/002. Day 1 - Introduction to Feature Engineering.en.srt 21.9 kB
Chapter 09 Week 09 - Neural Networks and Deep Learning Fundamentals/003. Day 2 - Forward Propagation and Activation Functions.en.srt 21.9 kB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/004. Day 3 - Statistical Inference Estimation and Confidence Intervals.en.srt 21.9 kB
z.9781806679652/Python100Days_Code/Day57/donald.jpg 21.6 kB
Chapter 14 Week 01 - Python Basics/003. Day 2 - Personalized Greeting Program Variables & Data Types.en.srt 21.4 kB
Chapter 12 Week 12 - Transformers and Attention Mechanisms/002. Day 1 - Introduction to Attention Mechanisms.en.srt 21.4 kB
Chapter 15 Week 02 - Intermediate Python/006. Day 13 - Student Grade Manager List Comprehensions.en.srt 21.2 kB
Chapter 07 Week 07 - Advanced Machine Learning Algorithms/003. Day 2 - Bagging and Random Forests.en.srt 21.2 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/021. 20. Deep Q-Networks (DQN) Implementation.en.srt 21.1 kB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/001. Day 61 - Social Media Scraper.en.srt 21.0 kB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/007. Day 77 - AI Chatbot with NLP.en.srt 21.0 kB
Chapter 08 Week 08 - Model Tuning and Optimization/002. Day 1 - Introduction to Hyperparameter Tuning.en.srt 20.3 kB
Chapter 14 Week 01 - Python Basics/004. Day 3 - Simple Calculator User Input & String Formatting.en.srt 20.2 kB
Chapter 14 Week 01 - Python Basics/002. Day 1 - Welcome Message Generator Print Statements & Hello World.en.srt 19.7 kB
Chapter 08 Week 08 - Model Tuning and Optimization/005. Day 4 - Regularization Techniques for Model Optimization.en.srt 19.4 kB
Chapter 14 Week 01 - Python Basics/006. Day 5 - Countdown Timer Loops (for & while).en.srt 19.1 kB
Chapter 14 Week 01 - Python Basics/005. Day 4 - Number Comparison Tool If-Else Statements.en.srt 19.0 kB
Chapter 08 Week 08 - Model Tuning and Optimization/006. Day 5 - Cross-Validation and Model Evaluation Techniques.en.srt 18.6 kB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/009. Day 79 - Language Translator Tool.en.srt 18.5 kB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/002. Day 72 - Text Sentiment Analyzer.en.srt 18.4 kB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/009. Day 69 - Currency Converter.en.srt 18.2 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/028. 27. Transformers Implementation.en.srt 17.2 kB
Chapter 23 Days 71_80 - AI & Machine Learning Projects/008. Day 78 - Object Detection App.en.srt 17.1 kB
Chapter 21 Days 50_60 - Intermediate Projects/005. Day 54 - Mini Chatbot.en.srt 17.0 kB
z.9781806679652/Code_files/Week07/Day5/catboost_info/learn_error.tsv 16.8 kB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/004. Day 64 - PDF Merger Tool.en.srt 16.7 kB
z.9781806679652/Python100Days_Code/Day64/my_pdf.pdf 16.5 kB
z.9781806679652/Python100Days_Code/Day39/instance/users.db 16.4 kB
Chapter 22 Days 61_70 - Advanced Intermediate Projects/006. Day 66 - Flashcards Learning App.en.srt 16.0 kB
Chapter 04 Week 04 - Probability and Statistics for Machine Learning and AI/005. Day 4 - Hypothesis Testing and P-Values.en.srt 16.0 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/022. 21. Policy Gradient Methods Implementation.en.srt 15.5 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/025. 24. Convolutional Neural Networks (CNNs) Implementation.en.srt 13.6 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/020. 19. Q-Learning Implementation.en.srt 13.0 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/018. 17. Unsupervised Learning Algorithms - Autoencoders Implementation.en.srt 12.6 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/026. 25. Recurrent Neural Networks (RNNs) Implementation.en.srt 12.2 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/003. 2. Supervised Learning Algorithms - Ridge and Lasso Regression Implementation.en.srt 11.8 kB
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Chapter 24 Machine Learning Algorithms and Implementation in Python/027. 26. Long Short-Term Memory (LSTM) Implementation.en.srt 11.5 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/004. 3. Supervised Learning Algorithms - Polynomial Regression Implementation.en.srt 10.8 kB
Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/005. Day 4 - Gated Recurrent Units (GRUs).en.srt 10.4 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/019. 18. Self-Training Implementation.en.srt 10.3 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/007. 6. Supervised Learning Algorithms - Support Vector Machines (SVM) Implementation.en.srt 10.2 kB
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Chapter 24 Machine Learning Algorithms and Implementation in Python/008. 7. Supervised Learning Algorithms - Decision Trees Implementation.en.srt 9.9 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/006. 5. Supervised Learning Algorithms - K-Nearest Neighbors (KNN) Implementation.en.srt 9.8 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/010. 9. Supervised Learning Algorithms - Gradient Boosting Implementation.en.srt 9.7 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/009. 8. Supervised Learning Algorithms - Random Forests Implementation.en.srt 9.5 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/002. 1. Supervised Learning Algorithms - Linear Regression Implementation.en.srt 9.3 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/005. 4. Supervised Learning Algorithms - Logistic Regression Implementation.en.srt 9.3 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/011. 10. Supervised Learning Algorithms - Naive Bayes Implementation.en.srt 9.1 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/013. 12. Unsupervised Learning Algorithms - Hierarchical Clustering Implementation.en.srt 8.5 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/017. 16. Unsupervised Learning Algorithms - t-Distributed Stochastic Neighbor Embedding.en.srt 8.4 kB
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Chapter 24 Machine Learning Algorithms and Implementation in Python/024. 23. Isolation Forest Implementation.en.srt 8.2 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/014. 13. Unsupervised Learning Algorithms - DBSCAN.en.srt 7.8 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/023. 22. One-Class SVM Implementation.en.srt 7.6 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/015. 14. Unsupervised Learning Algorithms - Gaussian Mixture Models (GMM).en.srt 7.6 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/016. 15. Unsupervised Learning Algorithms - Principal Component Analysis (PCA).en.srt 7.2 kB
Chapter 24 Machine Learning Algorithms and Implementation in Python/012. 11. Unsupervised Learning Algorithms - K-Means Clustering Implementation.en.srt 6.7 kB
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Chapter 11 Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling/001. Introduction to Week 11 - Recurrent Neural Networks (RNNs) and Sequence Modeling.en.srt 1.2 kB
Chapter 10 Week 10 - Convolutional Neural Networks (CNNs)/001. Introduction to Week 10 Convolutional Neural Networks (CNNs).en.srt 1.2 kB
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Chapter 02 Week 02 - Data Science Essentials for Artificial Intelligence/001. Introduction to Week 2 Data Science Essentials.en.srt 1.2 kB
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Chapter 13 Week 13 - Transfer Learning and Fine-Tuning/001. Introduction to Week 13 - Transfer Learning and Fine-Tuning.en.srt 1.1 kB
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