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[FreeCourseSite com] Udemy - Projects in Machine Learning Beginner To Professional

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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
E13C4B6AB155103FBC837858B04DD3923C8BF08F
Source
Unverified
Total Size
4.24 GB
Total Files
100
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0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
1. An Introduction to Machine Learning/1. Introduction.mp41.71 MB
1. An Introduction to Machine Learning/1. Introduction.srt1.63 KB
1. An Introduction to Machine Learning/2. What is Machine Learning.mp429.19 MB
1. An Introduction to Machine Learning/2. What is Machine Learning.srt15.77 KB
1. An Introduction to Machine Learning/3. Types and Applications of ML.mp453.05 MB
1. An Introduction to Machine Learning/3. Types and Applications of ML.srt34.78 KB
1. An Introduction to Machine Learning/4. AI vs ML.mp422.88 MB
1. An Introduction to Machine Learning/4. AI vs ML.srt12.52 KB
1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp435.79 MB
1. An Introduction to Machine Learning/5. Essential Math for ML and AI.srt23.34 KB
1. An Introduction to Machine Learning/6. Quiz- Questions- Section1.html65 B
1. An Introduction to Machine Learning/6.1 Unit 1 Quiz.pdf.pdf64.52 KB
1. An Introduction to Machine Learning/7. Quiz- Answers - Section 1.html53 B
1. An Introduction to Machine Learning/7.1 Unit 1 Solutions.pdf.pdf61.74 KB
10. Project 5 Object Recognition/1. Intro.mp47.21 MB
10. Project 5 Object Recognition/1. Intro.srt1.66 KB
10. Project 5 Object Recognition/1.1 Object Recognition.zip.zip219.04 KB
10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4180.54 MB
10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.srt32.63 KB
10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4205.6 MB
10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.srt30.7 KB
10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4170.79 MB
10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.srt25.32 KB
11. Project 6 Image Super Resolution/1. Intro.mp49.56 MB
11. Project 6 Image Super Resolution/1. Intro.srt1.51 KB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution.zip.zip9.41 MB
11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4258.79 MB
11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.srt44.26 KB
11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4357.57 MB
11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.srt55.11 KB
12. Project 7 Text Classification/1. Intro.mp45 MB
12. Project 7 Text Classification/1. Intro.srt1.39 KB
12. Project 7 Text Classification/1.1 Text Classification.zip.zip55.36 KB
12. Project 7 Text Classification/2. Feature Engineering.mp4375.39 MB
12. Project 7 Text Classification/2. Feature Engineering.srt56.48 KB
12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4204.23 MB
12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.srt32.28 KB
13. Project 8 - KMeans/1. Intro.mp411.21 MB
13. Project 8 - KMeans/1. Intro.srt1.58 KB
13. Project 8 - KMeans/1.1 KMeans.zip.zip189.11 KB
13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4230.86 MB
13. Project 8 - KMeans/2. Preprocessing Images for Clustering.srt45.96 KB
13. Project 8 - KMeans/3. Evaluation and Visualization.mp4209.48 MB
13. Project 8 - KMeans/3. Evaluation and Visualization.srt34.79 KB
14. Project 9 PCA/1. Intro.mp43.69 MB
14. Project 9 PCA/1. Intro.srt1.3 KB
14. Project 9 PCA/1.1 PCA.zip.zip219.64 KB
14. Project 9 PCA/2. The Elbow Method.mp4114.2 MB
14. Project 9 PCA/2. The Elbow Method.srt29.11 KB
14. Project 9 PCA/3. PCA Compression and Visualization.mp4185 MB
14. Project 9 PCA/3. PCA Compression and Visualization.srt36.13 KB
2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp425.47 MB
2. Supervised Learning - part 1/1. Introduction to Supervised Learning.srt18.3 KB
2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html53 B
2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf75.28 KB
2. Supervised Learning - part 1/2. Linear Methods for Classification.mp434.14 MB
2. Supervised Learning - part 1/2. Linear Methods for Classification.srt21.99 KB
2. Supervised Learning - part 1/3. Linear Methods for Regression.mp427.01 MB
2. Supervised Learning - part 1/3. Linear Methods for Regression.srt14.73 KB
2. Supervised Learning - part 1/4. Support Vector Machines.mp435.79 MB
2. Supervised Learning - part 1/4. Support Vector Machines.srt20.46 KB
2. Supervised Learning - part 1/5. Basis Expansions.mp421.32 MB
2. Supervised Learning - part 1/5. Basis Expansions.srt14.06 KB
2. Supervised Learning - part 1/6. Model Selection Procedures.mp426.93 MB
2. Supervised Learning - part 1/6. Model Selection Procedures.srt17.05 KB
2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp431.01 MB
2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.srt18.94 KB
2. Supervised Learning - part 1/7.1 Supervised Learning.zip.zip167.22 KB
2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp436.22 MB
2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.srt17.81 KB
2. Supervised Learning - part 1/9. Quiz- Questions- Section 2.html65 B
2. Supervised Learning - part 1/9.1 Unit 2 Quiz.pdf.pdf52.97 KB
3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp431.78 MB
3. Unsupervised Learning/1. Introduction to Unsupervised Learning.srt15.81 KB
3. Unsupervised Learning/2. Association Rules.mp428.5 MB
3. Unsupervised Learning/2. Association Rules.srt18.71 KB
3. Unsupervised Learning/3. Cluster Analysis.mp427.95 MB
3. Unsupervised Learning/3. Cluster Analysis.srt17.86 KB
3. Unsupervised Learning/4. Reinforcement Learning.mp420.96 MB
3. Unsupervised Learning/4. Reinforcement Learning.srt22.35 KB
3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp421.95 MB
3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.srt19.77 KB
3. Unsupervised Learning/5.1 Unsupervised Learning.zip.zip92.48 KB
3. Unsupervised Learning/6. Quiz- Questions- Section 3.html65 B
3. Unsupervised Learning/6.1 Unit 3 Quiz.pdf.pdf29.8 KB
3. Unsupervised Learning/7. Quiz- Answers - Section 3.html53 B
3. Unsupervised Learning/7.1 Unit 3 Solutions.pdf.pdf41.25 KB
4. Neural Networks/1. Introduction to Neural Networks.mp422.71 MB
4. Neural Networks/1. Introduction to Neural Networks.srt17.55 KB
4. Neural Networks/2. The Perceptron.mp417.12 MB
4. Neural Networks/2. The Perceptron.srt13.35 KB
4. Neural Networks/3. The Backpropagation Algorithm.mp422.64 MB
4. Neural Networks/3. The Backpropagation Algorithm.srt16.14 KB
4. Neural Networks/4. Training Procedures.mp424.04 MB
4. Neural Networks/4. Training Procedures.srt18.74 KB
4. Neural Networks/5. Convolutional Neural Networks.mp432.04 MB
4. Neural Networks/5. Convolutional Neural Networks.srt21.82 KB
5. Real World Machine Learning/1. Introduction to Real World ML.mp425.58 MB
5. Real World Machine Learning/1. Introduction to Real World ML.srt16.38 KB
5. Real World Machine Learning/2. Choosing an Algorithm.mp419.14 MB

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