CBT Nuggets - Programming for Data Science

磁力链接/BT种子名称

CBT Nuggets - Programming for Data Science

磁力链接/BT种子简介

种子哈希：00f81955642021cc3f0d7b904e6f1124f462308f
文件大小： 12.25G
已经下载：3413次
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收录时间：2023-12-30
最近下载：2025-08-30

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文件列表

  • 19. Evaluate Complexity and Memory for Data Science/4. Pandas Data Types .mp4 220.8 MB
  • 21. Explore R Fundamentals for Data Science/1. Introduction -3.mp4 203.1 MB
  • 24. Explore AI Language Models and OpenAI's ChatGPT/5. Prompts and Completions.mp4 194.4 MB
  • 21. Explore R Fundamentals for Data Science/3. Getting Started with R and Google Colab .mp4 185.3 MB
  • 2. Access the Command Line for Data Science/1. Introduction .mp4 179.1 MB
  • 10. Write Code using OOP Concepts for Data Science/3. Python Class Objects .mp4 177.6 MB
  • 21. Explore R Fundamentals for Data Science/2. What is R and Why Should I Learn it in 2023 .mp4 176.0 MB
  • 13. Visualizing Data with Matplotlib for Data Science/2. What is Matplotlib .mp4 169.3 MB
  • 13. Visualizing Data with Matplotlib for Data Science/3. Fields in the dataset from Kaggle .mp4 163.0 MB
  • 14. Visualize Data with Seaborn for Data Science/2. Matplotlib vs Seaborn .mp4 156.6 MB
  • 15. Explore Web Scraping Fundamentals for Data Science/6. Web Scraping with BeautifulSoup .mp4 156.2 MB
  • 19. Evaluate Complexity and Memory for Data Science/1. Introduction - Programming for Data Science CBT Nuggets-3.mp4 151.0 MB
  • 18. Analyze Core Data Structures for Data Science/4. Data Structures Deep Dive .mp4 148.4 MB
  • 2. Access the Command Line for Data Science/2. What is a command-line, terminal, and Shell .mp4 144.1 MB
  • 16. Collect Web Data with Python and BeautifulSoup/5. The find_all() Method Part 1 .mp4 142.3 MB
  • 22. Implement and Compare R Data Structures/7. Data Exploration .mp4 139.9 MB
  • 26. Create an AI Powered Web App with OpenAI, Streamlit/7. HungryBear Production Code Part 2 .mp4 139.8 MB
  • 18. Analyze Core Data Structures for Data Science/1. Introduction .mp4 139.5 MB
  • 20. Apply Big O Notation Concepts for Data Science/5. Factorial time .mp4 139.0 MB
  • 4. Explore Python Data Types for Data Science/7. Collections Dictionaries .mp4 138.5 MB
  • 20. Apply Big O Notation Concepts for Data Science/1. Introduction .mp4 138.2 MB
  • 24. Explore AI Language Models and OpenAI's ChatGPT/2. What is AI.mp4 137.4 MB
  • 16. Collect Web Data with Python and BeautifulSoup/4. The find() Method Part 2 .mp4 135.7 MB
  • 10. Write Code using OOP Concepts for Data Science/1. Introduction .mp4 131.2 MB
  • 18. Analyze Core Data Structures for Data Science/3. Python Basic Data Structure Limitations .mp4 130.8 MB
  • 10. Write Code using OOP Concepts for Data Science/2. Programming Styles .mp4 129.8 MB
  • 8. Write Loops to Automate Tasks for Data Science/3. if Statements Part 1 .mp4 129.5 MB
  • 19. Evaluate Complexity and Memory for Data Science/3. Algorithm Comparison .mp4 127.8 MB
  • 18. Analyze Core Data Structures for Data Science/5. Social Network Analysis Use Case .mp4 124.1 MB
  • 22. Implement and Compare R Data Structures/1. Introduction .mp4 123.4 MB
  • 23. Perform EDA with R and Python for Data Science/3. Perform Exploratory Data Analysis (EDA) Part II .mp4 121.7 MB
  • 25. Query OpenAI's Language Model API with Google's Colab/4. Creating a Completion.mp4 120.2 MB
  • 8. Write Loops to Automate Tasks for Data Science/7. Challenge .mp4 118.2 MB
  • 26. Create an AI Powered Web App with OpenAI, Streamlit/5. HungryBear Non-production Code .mp4 115.9 MB
  • 20. Apply Big O Notation Concepts for Data Science/6. Coffee Shop Complexity .mp4 114.9 MB
  • 9. Use Python Built-In Methods for Data Science/2. List Review .mp4 112.3 MB
  • 2. Access the Command Line for Data Science/4. Basic Linux Commands .mp4 110.7 MB
  • 23. Perform EDA with R and Python for Data Science/2. Load and Prepare the Dataset (EDA light) .mp4 109.6 MB
  • 11. Wrangling Data with Pandas for Data Science/6. Data Visualization with Pandas (it does that also!) .mp4 108.3 MB
  • 25. Query OpenAI's Language Model API with Google's Colab/2. Bare Bones Completion.mp4 107.5 MB
  • 1. Explore Data Science Domains and Roles/3. Data Science Tools .mp4 107.3 MB
  • 21. Explore R Fundamentals for Data Science/4. R Data Types .mp4 105.9 MB
  • 12. Work with Arrays Using Numpy Data Science Library/1. Introduction -3.mp4 104.6 MB
  • 26. Create an AI Powered Web App with OpenAI, Streamlit/1. Introduction .mp4 103.0 MB
  • 15. Explore Web Scraping Fundamentals for Data Science/3. Visual Studio Code .mp4 101.7 MB
  • 11. Wrangling Data with Pandas for Data Science/5. Clean and Manipulate Data .mp4 101.0 MB
  • 5. Explore Strings and Sequences for Data Science/4. Working with Strings .mp4 100.7 MB
  • 9. Use Python Built-In Methods for Data Science/6. Numpy and Pandas .mp4 100.1 MB
  • 1. Explore Data Science Domains and Roles/2. What is Data Science .mp4 100.0 MB
  • 12. Work with Arrays Using Numpy Data Science Library/3. Numpy Vs Pandas .mp4 99.6 MB
  • 17. Use GitHub Repositories for Data Science/5. Hosting Datasets for use in Jupyter Notebook .mp4 98.6 MB
  • 19. Evaluate Complexity and Memory for Data Science/2. Complexity Analysis and Memory .mp4 98.0 MB
  • 14. Visualize Data with Seaborn for Data Science/3. Plotting with Seaborn .mp4 97.4 MB
  • 16. Collect Web Data with Python and BeautifulSoup/3. The find() Method Part 1 .mp4 96.3 MB
  • 7. Write Reusable Python Functions for Data Science/2. Comparison and Logical Operators .mp4 93.1 MB
  • 8. Write Loops to Automate Tasks for Data Science/4. if Statements Part 2 .mp4 93.0 MB
  • 11. Wrangling Data with Pandas for Data Science/4. EDA (Exploratory Data Analysis) .mp4 89.7 MB
  • 18. Analyze Core Data Structures for Data Science/2. What are Data Structures .mp4 89.3 MB
  • 17. Use GitHub Repositories for Data Science/4. Create an Online Repo and Push Your Code to GitHub .mp4 88.9 MB
  • 1. Explore Data Science Domains and Roles/4. Data Science Development Environments .mp4 87.6 MB
  • 2. Access the Command Line for Data Science/5. Create Projects and Workflows .mp4 87.0 MB
  • 25. Query OpenAI's Language Model API with Google's Colab/1. Introduction.mp4 86.9 MB
  • 16. Collect Web Data with Python and BeautifulSoup/6. The find_all() Method Part 2 .mp4 86.3 MB
  • 14. Visualize Data with Seaborn for Data Science/4. Customizing Plots .mp4 86.1 MB
  • 8. Write Loops to Automate Tasks for Data Science/2. Functions Review .mp4 85.9 MB
  • 6. Explore Math Operators and LaTex for Data Science/2. Python and Math .mp4 85.5 MB
  • 26. Create an AI Powered Web App with OpenAI, Streamlit/2. What is Streamlit .mp4 85.1 MB
  • 2. Access the Command Line for Data Science/3. macOS Terminal, Git for Windows, and Linux Emulators .mp4 84.9 MB
  • 7. Write Reusable Python Functions for Data Science/4. If statements and Functions .mp4 84.0 MB
  • 13. Visualizing Data with Matplotlib for Data Science/4. Customizing Plots .mp4 83.8 MB
  • 11. Wrangling Data with Pandas for Data Science/2. What is Pandas Part 1 .mp4 82.9 MB
  • 25. Query OpenAI's Language Model API with Google's Colab/6. Bonus Use Case White Paper Summarization.mp4 82.6 MB
  • 26. Create an AI Powered Web App with OpenAI, Streamlit/4. Designing an AI Web App .mp4 82.3 MB
  • 6. Explore Math Operators and LaTex for Data Science/5. Built-in Python Functions .mp4 81.4 MB
  • 23. Perform EDA with R and Python for Data Science/4. Perform Exploratory Data Analysis (EDA) Part I .mp4 80.0 MB
  • 22. Implement and Compare R Data Structures/6. Matrix Calculations .mp4 79.9 MB
  • 11. Wrangling Data with Pandas for Data Science/1. Introduction .mp4 79.1 MB
  • 23. Perform EDA with R and Python for Data Science/5. Challenge .mp4 78.3 MB
  • 10. Write Code using OOP Concepts for Data Science/5. EDA Summary Statistics .mp4 78.1 MB
  • 7. Write Reusable Python Functions for Data Science/3. Writing Functions .mp4 78.0 MB
  • 9. Use Python Built-In Methods for Data Science/3. List Methods .mp4 75.4 MB
  • 25. Query OpenAI's Language Model API with Google's Colab/5. Time Complexity.mp4 75.3 MB
  • 11. Wrangling Data with Pandas for Data Science/3. What is Pandas Part 2 .mp4 75.1 MB
  • 24. Explore AI Language Models and OpenAI's ChatGPT/1. Introduction.mp4 75.1 MB
  • 7. Write Reusable Python Functions for Data Science/5. Understanding Functions .mp4 74.8 MB
  • 14. Visualize Data with Seaborn for Data Science/1. Introduction -3.mp4 72.8 MB
  • 6. Explore Math Operators and LaTex for Data Science/3. Math Operators .mp4 72.5 MB
  • 12. Work with Arrays Using Numpy Data Science Library/5. Array Operations, Array Methods and Functions .mp4 70.9 MB
  • 24. Explore AI Language Models and OpenAI's ChatGPT/3. OpenAI GPT-3 Language Models.mp4 70.6 MB
  • 7. Write Reusable Python Functions for Data Science/7. Asking for Input .mp4 70.4 MB
  • 10. Write Code using OOP Concepts for Data Science/4. EDA Dimensions .mp4 69.7 MB
  • 3. Set Up a Data Science Development Environment/6. Starting a Jupyter Notebook and Session .mp4 69.6 MB
  • 7. Write Reusable Python Functions for Data Science/6. Pseudocode .mp4 69.4 MB
  • 3. Set Up a Data Science Development Environment/5. Install Jupyter Notebook .mp4 67.4 MB
  • 3. Set Up a Data Science Development Environment/2. Install Anaconda macOS .mp4 67.2 MB
  • 26. Create an AI Powered Web App with OpenAI, Streamlit/6. HungryBear Production Code Part 1 .mp4 67.1 MB
  • 12. Work with Arrays Using Numpy Data Science Library/4. Creating and Manipulating Arrays .mp4 66.2 MB
  • 17. Use GitHub Repositories for Data Science/3. What is GitHub .mp4 65.0 MB
  • 4. Explore Python Data Types for Data Science/8. Collections Tuples, and Sets .mp4 64.6 MB
  • 17. Use GitHub Repositories for Data Science/2. What is Git .mp4 64.1 MB
  • 1. Explore Data Science Domains and Roles/7. The Data Science Roadmap .mp4 64.0 MB
  • 4. Explore Python Data Types for Data Science/3. Primitive & Non-Primitive Data Types, Part 2 Data Types in Jupyter Notebook .mp4 63.9 MB
  • 10. Write Code using OOP Concepts for Data Science/6. EDA Complete with Histograms .mp4 63.1 MB
  • 22. Implement and Compare R Data Structures/5. Operations and Calculations .mp4 62.2 MB
  • 6. Explore Math Operators and LaTex for Data Science/7. LaTex for Equations and Formulas .mp4 62.2 MB
  • 5. Explore Strings and Sequences for Data Science/7. Slicing .mp4 61.8 MB
  • 8. Write Loops to Automate Tasks for Data Science/5. for Loops .mp4 61.3 MB
  • 20. Apply Big O Notation Concepts for Data Science/2. Big O Notation .mp4 60.2 MB
  • 22. Implement and Compare R Data Structures/2. R and Python Data Structures Part 1 Vectors .mp4 60.0 MB
  • 20. Apply Big O Notation Concepts for Data Science/3. Big O Notation and Time Complexity Visualization .mp4 59.9 MB
  • 8. Write Loops to Automate Tasks for Data Science/6. while Loops .mp4 58.9 MB
  • 16. Collect Web Data with Python and BeautifulSoup/1. Introduction .mp4 57.8 MB
  • 9. Use Python Built-In Methods for Data Science/4. Dictionary Review .mp4 56.1 MB
  • 9. Use Python Built-In Methods for Data Science/5. Dictionary Methods .mp4 56.1 MB
  • 15. Explore Web Scraping Fundamentals for Data Science/5. CSS .mp4 55.8 MB
  • 12. Work with Arrays Using Numpy Data Science Library/2. What is Numpy .mp4 55.4 MB
  • 5. Explore Strings and Sequences for Data Science/6. Indexing .mp4 55.3 MB
  • 3. Set Up a Data Science Development Environment/4. Virtual Environments with Conda .mp4 53.0 MB
  • 1. Explore Data Science Domains and Roles/5. What is Anaconda .mp4 50.8 MB
  • 9. Use Python Built-In Methods for Data Science/1. Introduction Python Built-in Methods .mp4 49.2 MB
  • 6. Explore Math Operators and LaTex for Data Science/6. Scientific Notation .mp4 48.3 MB
  • 3. Set Up a Data Science Development Environment/8. Explore Visual Code for Data Science .mp4 48.1 MB
  • 15. Explore Web Scraping Fundamentals for Data Science/4. HTML .mp4 48.0 MB
  • 25. Query OpenAI's Language Model API with Google's Colab/3. API Authentication.mp4 47.4 MB
  • 5. Explore Strings and Sequences for Data Science/1. Introduction .mp4 46.8 MB
  • 4. Explore Python Data Types for Data Science/4. Numbers Integers and Floats .mp4 45.8 MB
  • 1. Explore Data Science Domains and Roles/6. Data Science Roles .mp4 45.6 MB
  • 4. Explore Python Data Types for Data Science/6. Collections Lists .mp4 45.4 MB
  • 5. Explore Strings and Sequences for Data Science/2. Working with Variables .mp4 44.8 MB
  • 22. Implement and Compare R Data Structures/3. R and Python Data Structures Part 2 Arrays and Lists .mp4 42.5 MB
  • 15. Explore Web Scraping Fundamentals for Data Science/2. How the Internet Works .mp4 41.1 MB
  • 17. Use GitHub Repositories for Data Science/1. Introduction -2.mp4 40.2 MB
  • 20. Apply Big O Notation Concepts for Data Science/4. Quadratic time .mp4 40.1 MB
  • 3. Set Up a Data Science Development Environment/1. Introduction .mp4 39.1 MB
  • 4. Explore Python Data Types for Data Science/5. Text Strings and Bools .mp4 38.5 MB
  • 13. Visualizing Data with Matplotlib for Data Science/1. Introduction .mp4 37.9 MB
  • 24. Explore AI Language Models and OpenAI's ChatGPT/4. What is ChatGPT and How Does it Work Under the Hood.mp4 37.1 MB
  • 4. Explore Python Data Types for Data Science/2. Primitive & Non-Primitive Data Types, Part 1 Conda Environment and GitHub .mp4 36.7 MB
  • 16. Collect Web Data with Python and BeautifulSoup/2. What is BeautifulSoup .mp4 35.7 MB
  • 5. Explore Strings and Sequences for Data Science/5. String Formatting .mp4 35.3 MB
  • 6. Explore Math Operators and LaTex for Data Science/1. Introduction .mp4 34.3 MB
  • 26. Create an AI Powered Web App with OpenAI, Streamlit/3. What is Streamlit Community Cloud .mp4 33.8 MB
  • 5. Explore Strings and Sequences for Data Science/3. Leaving Comments .mp4 33.2 MB
  • 22. Implement and Compare R Data Structures/4. R and Python Data Structures Part 3 Data Frames .mp4 32.3 MB
  • 6. Explore Math Operators and LaTex for Data Science/4. Boolean Values .mp4 32.2 MB
  • 3. Set Up a Data Science Development Environment/3. Install Anaconda Windows .mp4 30.4 MB
  • 17. Use GitHub Repositories for Data Science/6. Challenge .mp4 30.3 MB
  • 15. Explore Web Scraping Fundamentals for Data Science/1. Introduction .mp4 28.2 MB
  • 4. Explore Python Data Types for Data Science/1. Introduction -3.mp4 26.1 MB
  • 1. Explore Data Science Domains and Roles/1. Explore Data Science Domains and Roles .mp4 25.3 MB
  • 7. Write Reusable Python Functions for Data Science/1. Introduction .mp4 25.1 MB
  • 14. Visualize Data with Seaborn for Data Science/5. Real-world Notebook .mp4 23.1 MB
  • 8. Write Loops to Automate Tasks for Data Science/1. Introduction - Loops to Automate Tasks .mp4 22.1 MB
  • 23. Perform EDA with R and Python for Data Science/1. Introduction .mp4 20.1 MB
  • 3. Set Up a Data Science Development Environment/7. Closing a Jupyter Notebook Session .mp4 14.2 MB

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