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| [FreeCoursesOnline.Me].url |
133б |
| [FreeTutorials.Us].url |
119б |
| [FTU Forum].url |
252б |
| 1.1 Board Game Review Predictions.zip.zip |
128.63Кб |
| 1.1 Credit Card Fraud Detection.zip.zip |
237.75Кб |
| 1.1 Final Project.zip.zip |
47.02Кб |
| 1.1 Image Super Resolution.zip.zip |
9.41Мб |
| 1.1 Intro to Natural Language Processing.zip.zip |
64.95Кб |
| 1.1 KMeans.zip.zip |
189.11Кб |
| 1.1 Object Recognition.zip.zip |
219.04Кб |
| 1.1 PCA.zip.zip |
219.64Кб |
| 1.1 Text Classification.zip.zip |
55.36Кб |
| 1. Intro.mp4 |
7.21Мб |
| 1. Intro.mp4 |
9.56Мб |
| 1. Intro.mp4 |
5.00Мб |
| 1. Intro.mp4 |
11.21Мб |
| 1. Intro.mp4 |
3.69Мб |
| 1. Intro.mp4 |
7.55Мб |
| 1. Intro.mp4 |
7.57Мб |
| 1. Intro.mp4 |
16.95Мб |
| 1. Intro.srt |
1.66Кб |
| 1. Intro.srt |
1.51Кб |
| 1. Intro.srt |
1.39Кб |
| 1. Intro.srt |
1.58Кб |
| 1. Intro.srt |
1.30Кб |
| 1. Intro.srt |
2.02Кб |
| 1. Intro.srt |
2.80Кб |
| 1. Intro.srt |
1.66Кб |
| 1. Introduction.mp4 |
1.71Мб |
| 1. Introduction.srt |
1.63Кб |
| 1. Introduction to Neural Networks.mp4 |
22.71Мб |
| 1. Introduction to Neural Networks.srt |
17.55Кб |
| 1. Introduction to Real World ML.mp4 |
25.58Мб |
| 1. Introduction to Real World ML.srt |
16.38Кб |
| 1. Introduction to Supervised Learning.mp4 |
25.47Мб |
| 1. Introduction to Supervised Learning.srt |
18.30Кб |
| 1. Introduction to Unsupervised Learning.mp4 |
31.78Мб |
| 1. Introduction to Unsupervised Learning.srt |
15.81Кб |
| 1. Setting up OpenAI Gym.mp4 |
30.12Мб |
| 1. Setting up OpenAI Gym.srt |
17.17Кб |
| 10.1 Unit 2 Solutions.pdf.pdf |
75.28Кб |
| 10. Quiz- Answers - Section 2.html |
53б |
| 2. Association Rules.mp4 |
28.50Мб |
| 2. Association Rules.srt |
18.71Кб |
| 2. Board Game Review Prediction - Building the Dataset Part 1.mp4 |
17.73Мб |
| 2. Board Game Review Prediction - Building the Dataset Part 1.srt |
12.67Кб |
| 2. Building and Training the Network Part 1.mp4 |
36.02Мб |
| 2. Building and Training the Network Part 1.srt |
20.35Кб |
| 2. Choosing an Algorithm.mp4 |
19.14Мб |
| 2. Choosing an Algorithm.srt |
13.28Кб |
| 2. Credit Card Fraud Detection - The Dataset.mp4 |
37.57Мб |
| 2. Credit Card Fraud Detection - The Dataset.srt |
26.52Кб |
| 2. Feature Engineering.mp4 |
375.39Мб |
| 2. Feature Engineering.srt |
56.48Кб |
| 2. Linear Methods for Classification.mp4 |
34.14Мб |
| 2. Linear Methods for Classification.srt |
21.99Кб |
| 2. Loading and Preprocessing the CIFAR10 Dataset.mp4 |
180.54Мб |
| 2. Loading and Preprocessing the CIFAR10 Dataset.srt |
32.63Кб |
| 2. Preprocessing Images for Clustering.mp4 |
230.86Мб |
| 2. Preprocessing Images for Clustering.srt |
45.96Кб |
| 2. Quality Metrics and Preprocessing Images.mp4 |
258.79Мб |
| 2. Quality Metrics and Preprocessing Images.srt |
44.26Кб |
| 2. The Elbow Method.mp4 |
114.20Мб |
| 2. The Elbow Method.srt |
29.11Кб |
| 2. The Perceptron.mp4 |
17.12Мб |
| 2. The Perceptron.srt |
13.35Кб |
| 2. Tokenizing, Stop Words, and Stemming.mp4 |
198.34Мб |
| 2. Tokenizing, Stop Words, and Stemming.srt |
30.14Кб |
| 2. What is Machine Learning.mp4 |
29.19Мб |
| 2. What is Machine Learning.srt |
15.77Кб |
| 3. Board Game Review Prediction - Building the Dataset Part 2.mp4 |
35.50Мб |
| 3. Board Game Review Prediction - Building the Dataset Part 2.srt |
20.37Кб |
| 3. Building and Deploying the All-CNN Network Part 1.mp4 |
205.60Мб |
| 3. Building and Deploying the All-CNN Network Part 1.srt |
30.70Кб |
| 3. Building and Training the Network Part 2.mp4 |
63.34Мб |
| 3. Building and Training the Network Part 2.srt |
26.95Кб |
| 3. Cluster Analysis.mp4 |
27.95Мб |
| 3. Cluster Analysis.srt |
17.86Кб |
| 3. Credit Card Fraud Detection - The Algorithms.mp4 |
48.91Мб |
| 3. Credit Card Fraud Detection - The Algorithms.srt |
24.93Кб |
| 3. Deploying Sklearn Classifiers.mp4 |
204.23Мб |
| 3. Deploying Sklearn Classifiers.srt |
32.28Кб |
| 3. Design and Analysis of ML Experiments.mp4 |
19.79Мб |
| 3. Design and Analysis of ML Experiments.srt |
14.47Кб |
| 3. Evaluation and Visualization.mp4 |
209.48Мб |
| 3. Evaluation and Visualization.srt |
34.79Кб |
| 3. Image Super Resolution using Deep Learning.mp4 |
357.57Мб |
| 3. Image Super Resolution using Deep Learning.srt |
55.11Кб |
| 3. Linear Methods for Regression.mp4 |
27.01Мб |
| 3. Linear Methods for Regression.srt |
14.73Кб |
| 3. PCA Compression and Visualization.mp4 |
185.00Мб |
| 3. PCA Compression and Visualization.srt |
36.13Кб |
| 3. Tagging, Chunking, and Named Entity Recognition.mp4 |
323.06Мб |
| 3. Tagging, Chunking, and Named Entity Recognition.srt |
37.42Кб |
| 3. The Backpropagation Algorithm.mp4 |
22.64Мб |
| 3. The Backpropagation Algorithm.srt |
16.14Кб |
| 3. Types and Applications of ML.mp4 |
53.05Мб |
| 3. Types and Applications of ML.srt |
34.78Кб |
| 4. AI vs ML.mp4 |
22.88Мб |
| 4. AI vs ML.srt |
12.52Кб |
| 4. Board Game Review Prediction - Training the Models.mp4 |
35.82Мб |
| 4. Board Game Review Prediction - Training the Models.srt |
16.81Кб |
| 4. Building and Deploying the All-CNN Network Part 2.mp4 |
170.79Мб |
| 4. Building and Deploying the All-CNN Network Part 2.srt |
25.32Кб |
| 4. Common Software for ML.mp4 |
31.33Мб |
| 4. Common Software for ML.srt |
15.09Кб |
| 4. Reinforcement Learning.mp4 |
20.96Мб |
| 4. Reinforcement Learning.srt |
22.35Кб |
| 4. Support Vector Machines.mp4 |
35.79Мб |
| 4. Support Vector Machines.srt |
20.46Кб |
| 4. Text Classification.mp4 |
216.93Мб |
| 4. Text Classification.srt |
29.66Кб |
| 4. Training Procedures.mp4 |
24.04Мб |
| 4. Training Procedures.srt |
18.74Кб |
| 5.1 Unit 5 Quiz.pdf.pdf |
35.22Кб |
| 5.1 Unsupervised Learning.zip.zip |
92.48Кб |
| 5. Basis Expansions.mp4 |
21.32Мб |
| 5. Basis Expansions.srt |
14.06Кб |
| 5. Bonus! KMeans Clustering Project.mp4 |
21.95Мб |
| 5. Bonus! KMeans Clustering Project.srt |
19.77Кб |
| 5. Convolutional Neural Networks.mp4 |
32.04Мб |
| 5. Convolutional Neural Networks.srt |
21.82Кб |
| 5. Essential Math for ML and AI.mp4 |
35.79Мб |
| 5. Essential Math for ML and AI.srt |
23.34Кб |
| 5. Quiz- Questions- Section 5.html |
65б |
| 6.1 Unit 1 Quiz.pdf.pdf |
64.52Кб |
| 6.1 Unit 3 Quiz.pdf.pdf |
29.80Кб |
| 6.1 Unit 5 Solutions.pdf.pdf |
47.20Кб |
| 6. Model Selection Procedures.mp4 |
26.93Мб |
| 6. Model Selection Procedures.srt |
17.05Кб |
| 6. Quiz- Answers - Section 5.html |
53б |
| 6. Quiz- Questions- Section1.html |
65б |
| 6. Quiz- Questions- Section 3.html |
65б |
| 7.1 Supervised Learning.zip.zip |
167.22Кб |
| 7.1 Unit 1 Solutions.pdf.pdf |
61.74Кб |
| 7.1 Unit 3 Solutions.pdf.pdf |
41.25Кб |
| 7. Bonus! Supervised Learning Project in Python Part 1.mp4 |
31.01Мб |
| 7. Bonus! Supervised Learning Project in Python Part 1.srt |
18.94Кб |
| 7. Quiz- Answers - Section 1.html |
53б |
| 7. Quiz- Answers - Section 3.html |
53б |
| 8. Bonus! Supervised Learning Project in Python Part 2.mp4 |
36.22Мб |
| 8. Bonus! Supervised Learning Project in Python Part 2.srt |
17.81Кб |
| 9.1 Unit 2 Quiz.pdf.pdf |
52.97Кб |
| 9. Quiz- Questions- Section 2.html |
65б |