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| 1. Cross Validation.mp4 |
112.01Мб |
| 1. Cross Validation.srt |
17.60Кб |
| 1. Introduction to Machine Learning.mp4 |
27.81Мб |
| 1. Introduction to Machine Learning.srt |
7.48Кб |
| 1. Introduction to Matlplotlib.mp4 |
27.49Мб |
| 1. Introduction to Matlplotlib.srt |
5.93Кб |
| 1. Introduction to Scikit Learn.mp4 |
48.75Мб |
| 1. Introduction to Scikit Learn.srt |
11.99Кб |
| 1. Intro to Pandas.mp4 |
37.52Мб |
| 1. Intro to Pandas.srt |
10.50Кб |
| 1. Movie Review Screen Stream.mp4 |
67.84Мб |
| 1. Movie Review Screen Stream.srt |
11.14Кб |
| 1. NumPy Array Creation.mp4 |
55.20Мб |
| 1. NumPy Array Creation.srt |
12.49Кб |
| 1. NumPy Array Indexing.mp4 |
61.75Мб |
| 1. NumPy Array Indexing.srt |
12.04Кб |
| 1. NumPy Introduction.mp4 |
35.77Мб |
| 1. NumPy Introduction.srt |
9.58Кб |
| 1. Scikit Example Digits.mp4 |
45.20Мб |
| 1. Scikit Example Digits.srt |
10.29Кб |
| 10. Copies and Views.mp4 |
56.09Мб |
| 10. Copies and Views.srt |
7.57Кб |
| 10. Extracting Features.mp4 |
46.90Мб |
| 10. Extracting Features.srt |
9.40Кб |
| 11. Occurrences to Frequencies.mp4 |
77.07Мб |
| 11. Occurrences to Frequencies.srt |
12.77Кб |
| 12. Classifier Training.mp4 |
60.97Мб |
| 12. Classifier Training.srt |
8.11Кб |
| 13. Performance Analysis on the Test Set.mp4 |
119.41Мб |
| 13. Performance Analysis on the Test Set.srt |
15.30Кб |
| 14. Parameter Tuning.mp4 |
85.14Мб |
| 14. Parameter Tuning.srt |
13.41Кб |
| 15. Language Identifcation.mp4 |
92.92Мб |
| 15. Language Identifcation.srt |
17.81Кб |
| 2. Advantages and Disadvantages of Machine Learning.mp4 |
26.95Мб |
| 2. Advantages and Disadvantages of Machine Learning.srt |
10.90Кб |
| 2. Cross Validation Techniques.mp4 |
52.18Мб |
| 2. Cross Validation Techniques.srt |
8.87Кб |
| 2. Digits Dataset Using Matplotlib.mp4 |
62.80Мб |
| 2. Digits Dataset Using Matplotlib.srt |
9.61Кб |
| 2. Features and Installation.mp4 |
56.83Мб |
| 2. Features and Installation.srt |
8.47Кб |
| 2. Intro to Pandas Continue.mp4 |
42.55Мб |
| 2. Intro to Pandas Continue.srt |
11.18Кб |
| 2. Movie Review Screen Stream Continue.mp4 |
37.62Мб |
| 2. Movie Review Screen Stream Continue.srt |
5.27Кб |
| 2. NumPy Array Attributes.mp4 |
56.02Мб |
| 2. NumPy Array Attributes.srt |
9.82Кб |
| 2. NumPy Array Indexing Continue.mp4 |
35.43Мб |
| 2. NumPy Array Indexing Continue.srt |
6.15Кб |
| 2. Supervised.mp4 |
52.55Мб |
| 2. Supervised.srt |
13.32Кб |
| 2. Understanding Various Functions of Pyplot.mp4 |
85.44Мб |
| 2. Understanding Various Functions of Pyplot.srt |
13.78Кб |
| 3. Data Structure in Pandas.mp4 |
83.95Мб |
| 3. Data Structure in Pandas.srt |
12.14Кб |
| 3. K-Means Clustering Example.mp4 |
103.98Мб |
| 3. Multiple Figures and Subplots.mp4 |
110.33Мб |
| 3. Multiple Figures and Subplots.srt |
13.93Кб |
| 3. NumPy Array Boolean.mp4 |
66.86Мб |
| 3. NumPy Array Boolean.srt |
12.47Кб |
| 3. NumPy Array Operations.mp4 |
78.50Мб |
| 3. NumPy Array Operations.srt |
14.29Кб |
| 3. Understading Metrics of Predicted Digits Dataset.mp4 |
41.99Мб |
| 3. Understading Metrics of Predicted Digits Dataset.srt |
8.03Кб |
| 3. Unsupervised Learning.mp4 |
53.29Мб |
| 3. Unsupervised Learning.srt |
10.69Кб |
| 4. Agglomeration.mp4 |
76.56Мб |
| 4. Agglomeration.srt |
12.79Кб |
| 4. Data Structure in Pandas Continue.mp4 |
102.17Мб |
| 4. Data Structure in Pandas Continue.srt |
16.42Кб |
| 4. Load Data Set.mp4 |
43.44Мб |
| 4. Load Data Set.srt |
7.93Кб |
| 4. NumPy Array Operations Continue.mp4 |
93.00Мб |
| 4. NumPy Array Operations Continue.srt |
14.30Кб |
| 4. Persisting Models.mp4 |
105.18Мб |
| 4. Persisting Models.srt |
17.67Кб |
| 5. K-NN Algorithm with Example.mp4 |
101.37Мб |
| 5. K-NN Algorithm with Example.srt |
20.26Кб |
| 5. NumPy Array Unary Operations.mp4 |
35.53Мб |
| 5. NumPy Array Unary Operations.srt |
6.80Кб |
| 5. Pandas Column Select.mp4 |
79.57Мб |
| 5. Pandas Column Select.srt |
13.25Кб |
| 5. PCA Pipeline.mp4 |
117.16Мб |
| 5. PCA Pipeline.srt |
19.16Кб |
| 6. Face Recognition.mp4 |
53.62Мб |
| 6. Face Recognition.srt |
8.57Кб |
| 6. Numpy Array Splicing.mp4 |
98.85Мб |
| 6. Numpy Array Splicing.srt |
14.18Кб |
| 6. Remove Operations.mp4 |
117.42Мб |
| 6. Remove Operations.srt |
11.32Кб |
| 7. Face Recognition Output.mp4 |
52.15Мб |
| 7. NumPy Array Shpe.mp4 |
67.32Мб |
| 7. NumPy Array Shpe.srt |
13.84Кб |
| 7. Pandas Arithmetic Operations.mp4 |
103.23Мб |
| 7. Pandas Arithmetic Operations.srt |
14.05Кб |
| 8. Pandas Arithmetic Operations Continue.mp4 |
49.67Мб |
| 8. Pandas Arithmetic Operations Continue.srt |
8.61Кб |
| 8. Right Estimator.mp4 |
59.87Мб |
| 8. Right Estimator.srt |
8.98Кб |
| 8. Stacking Together Different Arrays.mp4 |
85.55Мб |
| 8. Stacking Together Different Arrays.srt |
11.44Кб |
| 9. Splitting one Array into Several Smaller ones.mp4 |
43.73Мб |
| 9. Splitting one Array into Several Smaller ones.srt |
8.05Кб |
| 9. Text Data Example.mp4 |
89.82Мб |
| 9. Text Data Example.srt |
16.22Кб |
| Bonus Resources.txt |
357б |
| Get Bonus Downloads Here.url |
183б |