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[Tutorialsplanet.NET] Udemy -Projects in Machine Learning Beginner To Professional
大小 4.24 GB
文件数 142
Info Hash: 89C9A8C6F25A0A3DA9AD16D71D4C84A524A31924
收录时间 2026-01-04 12:34:42
更新时间 2026-01-04 12:34:42
文件列表 (142)
1. An Introduction to Machine Learning/1. Introduction.mp4
1.71 MB
1. An Introduction to Machine Learning/1. Introduction.srt
1.63 KB
1. An Introduction to Machine Learning/2. What is Machine Learning.mp4
29.19 MB
1. An Introduction to Machine Learning/2. What is Machine Learning.srt
15.77 KB
1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4
53.05 MB
1. An Introduction to Machine Learning/3. Types and Applications of ML.srt
34.78 KB
1. An Introduction to Machine Learning/4. AI vs ML.mp4
22.88 MB
1. An Introduction to Machine Learning/4. AI vs ML.srt
12.52 KB
1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp4
35.79 MB
1. An Introduction to Machine Learning/5. Essential Math for ML and AI.srt
23.34 KB
1. An Introduction to Machine Learning/6. Quiz- Questions- Section1.html
65 B
1. An Introduction to Machine Learning/6.1 Unit 1 Quiz.pdf.pdf
64.52 KB
1. An Introduction to Machine Learning/7. Quiz- Answers - Section 1.html
53 B
1. An Introduction to Machine Learning/7.1 Unit 1 Solutions.pdf.pdf
61.74 KB
10. Project 5 Object Recognition/1. Intro.mp4
7.21 MB
10. Project 5 Object Recognition/1. Intro.srt
1.66 KB
10. Project 5 Object Recognition/1.1 Object Recognition.zip.zip
219.04 KB
10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4
180.54 MB
10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.srt
32.63 KB
10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4
205.6 MB
10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.srt
30.7 KB
10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4
170.79 MB
10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.srt
25.32 KB
11. Project 6 Image Super Resolution/1. Intro.mp4
9.56 MB
11. Project 6 Image Super Resolution/1. Intro.srt
1.51 KB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution.zip.zip
9.41 MB
11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4
258.79 MB
11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.srt
44.26 KB
11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4
357.57 MB
11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.srt
55.11 KB
12. Project 7 Text Classification/1. Intro.mp4
5 MB
12. Project 7 Text Classification/1. Intro.srt
1.39 KB
12. Project 7 Text Classification/1.1 Text Classification.zip.zip
55.36 KB
12. Project 7 Text Classification/2. Feature Engineering.mp4
375.39 MB
12. Project 7 Text Classification/2. Feature Engineering.srt
56.48 KB
12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4
204.23 MB
12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.srt
32.28 KB
13. Project 8 - KMeans/1. Intro.mp4
11.21 MB
13. Project 8 - KMeans/1. Intro.srt
1.58 KB
13. Project 8 - KMeans/1.1 KMeans.zip.zip
189.11 KB
13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4
230.86 MB
13. Project 8 - KMeans/2. Preprocessing Images for Clustering.srt
45.96 KB
13. Project 8 - KMeans/3. Evaluation and Visualization.mp4
209.48 MB
13. Project 8 - KMeans/3. Evaluation and Visualization.srt
34.79 KB
14. Project 9 PCA/1. Intro.mp4
3.69 MB
14. Project 9 PCA/1. Intro.srt
1.3 KB
14. Project 9 PCA/1.1 PCA.zip.zip
219.64 KB
14. Project 9 PCA/2. The Elbow Method.mp4
114.2 MB
14. Project 9 PCA/2. The Elbow Method.srt
29.11 KB
14. Project 9 PCA/3. PCA Compression and Visualization.mp4
185 MB
14. Project 9 PCA/3. PCA Compression and Visualization.srt
36.13 KB
2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4
25.47 MB
2. Supervised Learning - part 1/1. Introduction to Supervised Learning.srt
18.3 KB
2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html
53 B
2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf
75.28 KB
2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4
34.14 MB
2. Supervised Learning - part 1/2. Linear Methods for Classification.srt
21.99 KB
2. Supervised Learning - part 1/3. Linear Methods for Regression.mp4
27.01 MB
2. Supervised Learning - part 1/3. Linear Methods for Regression.srt
14.73 KB
2. Supervised Learning - part 1/4. Support Vector Machines.mp4
35.79 MB
2. Supervised Learning - part 1/4. Support Vector Machines.srt
20.46 KB
2. Supervised Learning - part 1/5. Basis Expansions.mp4
21.32 MB
2. Supervised Learning - part 1/5. Basis Expansions.srt
14.06 KB
2. Supervised Learning - part 1/6. Model Selection Procedures.mp4
26.93 MB
2. Supervised Learning - part 1/6. Model Selection Procedures.srt
17.05 KB
2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp4
31.01 MB
2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.srt
18.94 KB
2. Supervised Learning - part 1/7.1 Supervised Learning.zip.zip
167.22 KB
2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4
36.22 MB
2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.srt
17.81 KB
2. Supervised Learning - part 1/9. Quiz- Questions- Section 2.html
65 B
2. Supervised Learning - part 1/9.1 Unit 2 Quiz.pdf.pdf
52.97 KB
3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp4
31.78 MB
3. Unsupervised Learning/1. Introduction to Unsupervised Learning.srt
15.81 KB
3. Unsupervised Learning/2. Association Rules.mp4
28.5 MB
3. Unsupervised Learning/2. Association Rules.srt
18.71 KB
3. Unsupervised Learning/3. Cluster Analysis.mp4
27.95 MB
3. Unsupervised Learning/3. Cluster Analysis.srt
17.86 KB
3. Unsupervised Learning/4. Reinforcement Learning.mp4
20.96 MB
3. Unsupervised Learning/4. Reinforcement Learning.srt
22.35 KB
3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp4
21.95 MB
3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.srt
19.77 KB
3. Unsupervised Learning/5.1 Unsupervised Learning.zip.zip
92.48 KB
3. Unsupervised Learning/6. Quiz- Questions- Section 3.html
65 B
3. Unsupervised Learning/6.1 Unit 3 Quiz.pdf.pdf
29.8 KB
3. Unsupervised Learning/7. Quiz- Answers - Section 3.html
53 B
3. Unsupervised Learning/7.1 Unit 3 Solutions.pdf.pdf
41.25 KB
4. Neural Networks/1. Introduction to Neural Networks.mp4
22.71 MB
4. Neural Networks/1. Introduction to Neural Networks.srt
17.55 KB
4. Neural Networks/2. The Perceptron.mp4
17.12 MB
4. Neural Networks/2. The Perceptron.srt
13.35 KB
4. Neural Networks/3. The Backpropagation Algorithm.mp4
22.64 MB
4. Neural Networks/3. The Backpropagation Algorithm.srt
16.14 KB
4. Neural Networks/4. Training Procedures.mp4
24.04 MB
4. Neural Networks/4. Training Procedures.srt
18.74 KB
4. Neural Networks/5. Convolutional Neural Networks.mp4
32.04 MB
4. Neural Networks/5. Convolutional Neural Networks.srt
21.82 KB
5. Real World Machine Learning/1. Introduction to Real World ML.mp4
25.58 MB
5. Real World Machine Learning/1. Introduction to Real World ML.srt
16.38 KB
5. Real World Machine Learning/2. Choosing an Algorithm.mp4
19.14 MB
5. Real World Machine Learning/2. Choosing an Algorithm.srt
13.28 KB
5. Real World Machine Learning/3. Design and Analysis of ML Experiments.mp4
19.79 MB
5. Real World Machine Learning/3. Design and Analysis of ML Experiments.srt
14.47 KB
5. Real World Machine Learning/4. Common Software for ML.mp4
31.33 MB
5. Real World Machine Learning/4. Common Software for ML.srt
15.09 KB
5. Real World Machine Learning/5. Quiz- Questions- Section 5.html
65 B
5. Real World Machine Learning/5.1 Unit 5 Quiz.pdf.pdf
35.22 KB
5. Real World Machine Learning/6. Quiz- Answers - Section 5.html
53 B
5. Real World Machine Learning/6.1 Unit 5 Solutions.pdf.pdf
47.2 KB
6. Warmup Project/1. Setting up OpenAI Gym.mp4
30.12 MB
6. Warmup Project/1. Setting up OpenAI Gym.srt
17.17 KB
6. Warmup Project/1.1 Final Project.zip.zip
47.02 KB
6. Warmup Project/2. Building and Training the Network Part 1.mp4
36.02 MB
6. Warmup Project/2. Building and Training the Network Part 1.srt
20.35 KB
6. Warmup Project/3. Building and Training the Network Part 2.mp4
63.34 MB
6. Warmup Project/3. Building and Training the Network Part 2.srt
26.95 KB
7. Project 1Board Game Review Prediction/1. Intro.mp4
7.55 MB
7. Project 1Board Game Review Prediction/1. Intro.srt
2.02 KB
7. Project 1Board Game Review Prediction/1.1 Board Game Review Predictions.zip.zip
128.63 KB
7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.mp4
17.73 MB
7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.srt
12.67 KB
7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.mp4
35.5 MB
7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.srt
20.37 KB
7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.mp4
35.82 MB
7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.srt
16.81 KB
8. Project 2 Credit Card Fraud Detection/1. Intro.mp4
7.57 MB
8. Project 2 Credit Card Fraud Detection/1. Intro.srt
2.8 KB
8. Project 2 Credit Card Fraud Detection/1.1 Credit Card Fraud Detection.zip.zip
237.75 KB
8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.mp4
37.57 MB
8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.srt
26.52 KB
8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.mp4
48.91 MB
8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.srt
24.93 KB
9. Project 4 Intro to Natural Language Processing/1. Intro.mp4
16.95 MB
9. Project 4 Intro to Natural Language Processing/1. Intro.srt
1.66 KB
9. Project 4 Intro to Natural Language Processing/1.1 Intro to Natural Language Processing.zip.zip
64.95 KB
9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.mp4
198.34 MB
9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.srt
30.14 KB
9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.mp4
323.06 MB
9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.srt
37.42 KB
9. Project 4 Intro to Natural Language Processing/4. Text Classification.mp4
216.93 MB
9. Project 4 Intro to Natural Language Processing/4. Text Classification.srt
29.66 KB
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128 B
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