[Tutorialsplanet.NET] Udemy -Projects in Machine Learning Beginner To Professional

磁力链接/BT种子名称

[Tutorialsplanet.NET] Udemy -Projects in Machine Learning Beginner To Professional

磁力链接/BT种子简介

种子哈希：89c9a8c6f25a0a3da9ad16d71d4c84a524a31924
文件大小： 4.24G
已经下载：82次
下载速度：极快
收录时间：2021-04-27
最近下载：2025-05-22

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文件列表

  • 12. Project 7 Text Classification/2. Feature Engineering.mp4 393.6 MB
  • 11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4 374.9 MB
  • 9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.mp4 338.8 MB
  • 11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4 271.4 MB
  • 13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4 242.1 MB
  • 9. Project 4 Intro to Natural Language Processing/4. Text Classification.mp4 227.5 MB
  • 13. Project 8 - KMeans/3. Evaluation and Visualization.mp4 219.7 MB
  • 10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4 215.6 MB
  • 12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4 214.2 MB
  • 9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.mp4 208.0 MB
  • 14. Project 9 PCA/3. PCA Compression and Visualization.mp4 194.0 MB
  • 10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4 189.3 MB
  • 10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4 179.1 MB
  • 14. Project 9 PCA/2. The Elbow Method.mp4 119.7 MB
  • 6. Warmup Project/3. Building and Training the Network Part 2.mp4 66.4 MB
  • 1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4 55.6 MB
  • 8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.mp4 51.3 MB
  • 8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.mp4 39.4 MB
  • 2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4 38.0 MB
  • 6. Warmup Project/2. Building and Training the Network Part 1.mp4 37.8 MB
  • 7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.mp4 37.6 MB
  • 1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp4 37.5 MB
  • 2. Supervised Learning - part 1/4. Support Vector Machines.mp4 37.5 MB
  • 7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.mp4 37.2 MB
  • 2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4 35.8 MB
  • 4. Neural Networks/5. Convolutional Neural Networks.mp4 33.6 MB
  • 3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp4 33.3 MB
  • 5. Real World Machine Learning/4. Common Software for ML.mp4 32.8 MB
  • 2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp4 32.5 MB
  • 6. Warmup Project/1. Setting up OpenAI Gym.mp4 31.6 MB
  • 1. An Introduction to Machine Learning/2. What is Machine Learning.mp4 30.6 MB
  • 3. Unsupervised Learning/2. Association Rules.mp4 29.9 MB
  • 3. Unsupervised Learning/3. Cluster Analysis.mp4 29.3 MB
  • 2. Supervised Learning - part 1/3. Linear Methods for Regression.mp4 28.3 MB
  • 2. Supervised Learning - part 1/6. Model Selection Procedures.mp4 28.2 MB
  • 5. Real World Machine Learning/1. Introduction to Real World ML.mp4 26.8 MB
  • 2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4 26.7 MB
  • 4. Neural Networks/4. Training Procedures.mp4 25.2 MB
  • 1. An Introduction to Machine Learning/4. AI vs ML.mp4 24.0 MB
  • 4. Neural Networks/1. Introduction to Neural Networks.mp4 23.8 MB
  • 4. Neural Networks/3. The Backpropagation Algorithm.mp4 23.7 MB
  • 3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp4 23.0 MB
  • 2. Supervised Learning - part 1/5. Basis Expansions.mp4 22.4 MB
  • 3. Unsupervised Learning/4. Reinforcement Learning.mp4 22.0 MB
  • 5. Real World Machine Learning/3. Design and Analysis of ML Experiments.mp4 20.8 MB
  • 5. Real World Machine Learning/2. Choosing an Algorithm.mp4 20.1 MB
  • 7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.mp4 18.6 MB
  • 4. Neural Networks/2. The Perceptron.mp4 17.9 MB
  • 9. Project 4 Intro to Natural Language Processing/1. Intro.mp4 17.8 MB
  • 13. Project 8 - KMeans/1. Intro.mp4 11.8 MB
  • 11. Project 6 Image Super Resolution/1. Intro.mp4 10.0 MB
  • 11. Project 6 Image Super Resolution/1.1 Image Super Resolution.zip.zip 9.9 MB
  • 8. Project 2 Credit Card Fraud Detection/1. Intro.mp4 7.9 MB
  • 7. Project 1Board Game Review Prediction/1. Intro.mp4 7.9 MB
  • 10. Project 5 Object Recognition/1. Intro.mp4 7.6 MB
  • 12. Project 7 Text Classification/1. Intro.mp4 5.2 MB
  • 14. Project 9 PCA/1. Intro.mp4 3.9 MB
  • 1. An Introduction to Machine Learning/1. Introduction.mp4 1.8 MB
  • 8. Project 2 Credit Card Fraud Detection/1.1 Credit Card Fraud Detection.zip.zip 243.5 kB
  • 14. Project 9 PCA/1.1 PCA.zip.zip 224.9 kB
  • 10. Project 5 Object Recognition/1.1 Object Recognition.zip.zip 224.3 kB
  • 13. Project 8 - KMeans/1.1 KMeans.zip.zip 193.6 kB
  • 2. Supervised Learning - part 1/7.1 Supervised Learning.zip.zip 171.2 kB
  • 7. Project 1Board Game Review Prediction/1.1 Board Game Review Predictions.zip.zip 131.7 kB
  • 3. Unsupervised Learning/5.1 Unsupervised Learning.zip.zip 94.7 kB
  • 2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf 77.1 kB
  • 9. Project 4 Intro to Natural Language Processing/1.1 Intro to Natural Language Processing.zip.zip 66.5 kB
  • 1. An Introduction to Machine Learning/6.1 Unit 1 Quiz.pdf.pdf 66.1 kB
  • 1. An Introduction to Machine Learning/7.1 Unit 1 Solutions.pdf.pdf 63.2 kB
  • 12. Project 7 Text Classification/2. Feature Engineering.srt 57.8 kB
  • 12. Project 7 Text Classification/1.1 Text Classification.zip.zip 56.7 kB
  • 11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.srt 56.4 kB
  • 2. Supervised Learning - part 1/9.1 Unit 2 Quiz.pdf.pdf 54.2 kB
  • 5. Real World Machine Learning/6.1 Unit 5 Solutions.pdf.pdf 48.3 kB
  • 6. Warmup Project/1.1 Final Project.zip.zip 48.1 kB
  • 13. Project 8 - KMeans/2. Preprocessing Images for Clustering.srt 47.1 kB
  • 11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.srt 45.3 kB
  • 3. Unsupervised Learning/7.1 Unit 3 Solutions.pdf.pdf 42.2 kB
  • 9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.srt 38.3 kB
  • 14. Project 9 PCA/3. PCA Compression and Visualization.srt 37.0 kB
  • 5. Real World Machine Learning/5.1 Unit 5 Quiz.pdf.pdf 36.1 kB
  • 13. Project 8 - KMeans/3. Evaluation and Visualization.srt 35.6 kB
  • 1. An Introduction to Machine Learning/3. Types and Applications of ML.srt 35.6 kB
  • 10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.srt 33.4 kB
  • 12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.srt 33.1 kB
  • 10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.srt 31.4 kB
  • 9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.srt 30.9 kB
  • 3. Unsupervised Learning/6.1 Unit 3 Quiz.pdf.pdf 30.5 kB
  • 9. Project 4 Intro to Natural Language Processing/4. Text Classification.srt 30.4 kB
  • 14. Project 9 PCA/2. The Elbow Method.srt 29.8 kB
  • 6. Warmup Project/3. Building and Training the Network Part 2.srt 27.6 kB
  • 8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.srt 27.2 kB
  • 10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.srt 25.9 kB
  • 8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.srt 25.5 kB
  • 1. An Introduction to Machine Learning/5. Essential Math for ML and AI.srt 23.9 kB
  • 3. Unsupervised Learning/4. Reinforcement Learning.srt 22.9 kB
  • 2. Supervised Learning - part 1/2. Linear Methods for Classification.srt 22.5 kB
  • 4. Neural Networks/5. Convolutional Neural Networks.srt 22.3 kB
  • 2. Supervised Learning - part 1/4. Support Vector Machines.srt 20.9 kB
  • 7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.srt 20.9 kB
  • 6. Warmup Project/2. Building and Training the Network Part 1.srt 20.8 kB
  • 3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.srt 20.2 kB
  • 2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.srt 19.4 kB
  • 4. Neural Networks/4. Training Procedures.srt 19.2 kB
  • 3. Unsupervised Learning/2. Association Rules.srt 19.2 kB
  • 2. Supervised Learning - part 1/1. Introduction to Supervised Learning.srt 18.7 kB
  • 3. Unsupervised Learning/3. Cluster Analysis.srt 18.3 kB
  • 2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.srt 18.2 kB
  • 4. Neural Networks/1. Introduction to Neural Networks.srt 18.0 kB
  • 6. Warmup Project/1. Setting up OpenAI Gym.srt 17.6 kB
  • 2. Supervised Learning - part 1/6. Model Selection Procedures.srt 17.5 kB
  • 7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.srt 17.2 kB
  • 5. Real World Machine Learning/1. Introduction to Real World ML.srt 16.8 kB
  • 4. Neural Networks/3. The Backpropagation Algorithm.srt 16.5 kB
  • 3. Unsupervised Learning/1. Introduction to Unsupervised Learning.srt 16.2 kB
  • 1. An Introduction to Machine Learning/2. What is Machine Learning.srt 16.1 kB
  • 5. Real World Machine Learning/4. Common Software for ML.srt 15.5 kB
  • 2. Supervised Learning - part 1/3. Linear Methods for Regression.srt 15.1 kB
  • 5. Real World Machine Learning/3. Design and Analysis of ML Experiments.srt 14.8 kB
  • 2. Supervised Learning - part 1/5. Basis Expansions.srt 14.4 kB
  • 4. Neural Networks/2. The Perceptron.srt 13.7 kB
  • 5. Real World Machine Learning/2. Choosing an Algorithm.srt 13.6 kB
  • 7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.srt 13.0 kB
  • 1. An Introduction to Machine Learning/4. AI vs ML.srt 12.8 kB
  • 8. Project 2 Credit Card Fraud Detection/1. Intro.srt 2.9 kB
  • 7. Project 1Board Game Review Prediction/1. Intro.srt 2.1 kB
  • 10. Project 5 Object Recognition/1. Intro.srt 1.7 kB
  • 9. Project 4 Intro to Natural Language Processing/1. Intro.srt 1.7 kB
  • 1. An Introduction to Machine Learning/1. Introduction.srt 1.7 kB
  • 13. Project 8 - KMeans/1. Intro.srt 1.6 kB
  • 11. Project 6 Image Super Resolution/1. Intro.srt 1.5 kB
  • 12. Project 7 Text Classification/1. Intro.srt 1.4 kB
  • 14. Project 9 PCA/1. Intro.srt 1.3 kB
  • [Tutorialsplanet.NET].url 128 Bytes
  • 1. An Introduction to Machine Learning/6. Quiz- Questions- Section1.html 65 Bytes
  • 2. Supervised Learning - part 1/9. Quiz- Questions- Section 2.html 65 Bytes
  • 3. Unsupervised Learning/6. Quiz- Questions- Section 3.html 65 Bytes
  • 5. Real World Machine Learning/5. Quiz- Questions- Section 5.html 65 Bytes
  • 1. An Introduction to Machine Learning/7. Quiz- Answers - Section 1.html 53 Bytes
  • 2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html 53 Bytes
  • 3. Unsupervised Learning/7. Quiz- Answers - Section 3.html 53 Bytes
  • 5. Real World Machine Learning/6. Quiz- Answers - Section 5.html 53 Bytes

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