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文档列表
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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