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| [FreeCourseLab.com].url |
126B |
| 1. Adaboost Regressor.mp4 |
86.36MB |
| 1. Adaboost Regressor.vtt |
7.75KB |
| 1. Affinity Propagation Model.mp4 |
75.82MB |
| 1. Affinity Propagation Model.vtt |
6.32KB |
| 1. Classification in Artificial Intelligence.mp4 |
21.20MB |
| 1. Classification in Artificial Intelligence.vtt |
3.82KB |
| 1. Clustering Quality.mp4 |
69.91MB |
| 1. Clustering Quality.vtt |
5.48KB |
| 1. Concept of Logic Programming.mp4 |
154.16MB |
| 1. Concept of Logic Programming.vtt |
12.70KB |
| 1. Dealing with Class Imbalance.mp4 |
85.23MB |
| 1. Dealing with Class Imbalance.vtt |
7.14KB |
| 1. Detecting patterns with Unsupervised Learning.mp4 |
74.85MB |
| 1. Detecting patterns with Unsupervised Learning.vtt |
6.45KB |
| 1. Gaussian Mixture Model.mp4 |
62.42MB |
| 1. Gaussian Mixture Model.vtt |
4.92KB |
| 1. Natural Language Processing.mp4 |
70.62MB |
| 1. Natural Language Processing.vtt |
7.23KB |
| 1. Random Forest and Extremely Random Forest.mp4 |
116.87MB |
| 1. Random Forest and Extremely Random Forest.vtt |
12.19KB |
| 1. Recursive Descent Parsing Continues.mp4 |
42.46MB |
| 1. Recursive Descent Parsing Continues.vtt |
8.28KB |
| 1. What is Heuristic Search.mp4 |
93.51MB |
| 1. What is Heuristic Search.vtt |
7.27KB |
| 10. Segmentation Example Continues.mp4 |
27.05MB |
| 10. Segmentation Example Continues.vtt |
4.64KB |
| 11. Information Extraction.mp4 |
50.62MB |
| 11. Information Extraction.vtt |
10.64KB |
| 12. Tag Patterns.mp4 |
46.73MB |
| 12. Tag Patterns.vtt |
3.52KB |
| 13. Chunking.mp4 |
106.10MB |
| 13. Chunking.vtt |
10.47KB |
| 14. Representation of Chunks.mp4 |
69.71MB |
| 14. Representation of Chunks.vtt |
5.91KB |
| 15. Chinking.mp4 |
87.89MB |
| 15. Chinking.vtt |
8.72KB |
| 16. Chunking wirh Regular Expression.mp4 |
95.61MB |
| 16. Chunking wirh Regular Expression.vtt |
8.51KB |
| 17. Named Entity Recognition.mp4 |
78.67MB |
| 17. Named Entity Recognition.vtt |
7.04KB |
| 18. Trees.mp4 |
62.27MB |
| 18. Trees.vtt |
8.29KB |
| 19. Context Free Grammar.mp4 |
38.27MB |
| 19. Context Free Grammar.vtt |
3.59KB |
| 2. Affinity Propagation Model Continues.mp4 |
47.26MB |
| 2. Affinity Propagation Model Continues.vtt |
5.22KB |
| 2. Clustering.mp4 |
69.67MB |
| 2. Clustering.vtt |
7.25KB |
| 2. Examine Text Using NLTK.mp4 |
60.29MB |
| 2. Examine Text Using NLTK.vtt |
5.09KB |
| 2. Grid Search.mp4 |
110.32MB |
| 2. Grid Search.vtt |
10.89KB |
| 2. Introduction to Predictive Analysis.mp4 |
95.43MB |
| 2. Introduction to Predictive Analysis.vtt |
10.17KB |
| 2. Local Search Technique.mp4 |
132.06MB |
| 2. Local Search Technique.vtt |
10.90KB |
| 2. Matching the Mathematical Expression.mp4 |
78.53MB |
| 2. Matching the Mathematical Expression.vtt |
7.10KB |
| 2. Predicting Traffic Using Extremely Random Forest Regressor.mp4 |
34.57MB |
| 2. Predicting Traffic Using Extremely Random Forest Regressor.vtt |
2.40KB |
| 2. Processing Data.mp4 |
65.18MB |
| 2. Processing Data.vtt |
9.00KB |
| 2. Program of Clustering Quality.mp4 |
70.21MB |
| 2. Program of Clustering Quality.vtt |
7.24KB |
| 2. Program of Gaussian Mixture Model.mp4 |
91.68MB |
| 2. Program of Gaussian Mixture Model.vtt |
8.63KB |
| 20. Recursive Descent Parsing.mp4 |
66.34MB |
| 20. Recursive Descent Parsing.vtt |
7.28KB |
| 3. Clustering Meanshift.mp4 |
55.48MB |
| 3. Clustering Meanshift.vtt |
5.12KB |
| 3. Constraint Satisfaction Problem.mp4 |
105.05MB |
| 3. Constraint Satisfaction Problem.vtt |
9.81KB |
| 3. Logistic Regression Classifier.mp4 |
16.62MB |
| 3. Logistic Regression Classifier.vtt |
3.25KB |
| 3. Parsing Family Tree and its Example.mp4 |
100.53MB |
| 3. Parsing Family Tree and its Example.vtt |
9.57KB |
| 3. Raw Text Accessing (Tokenization).mp4 |
118.99MB |
| 3. Raw Text Accessing (Tokenization).vtt |
12.50KB |
| 3. Shift Reduce Parsing.mp4 |
80.19MB |
| 3. Shift Reduce Parsing.vtt |
10.69KB |
| 3. Traffic Prediction.mp4 |
84.12MB |
| 3. Traffic Prediction.vtt |
7.16KB |
| 4. Analyzing Geography Logic Programming.mp4 |
62.40MB |
| 4. Analyzing Geography Logic Programming.vtt |
5.81KB |
| 4. Clustering Meanshift Continues.mp4 |
60.29MB |
| 4. Clustering Meanshift Continues.vtt |
7.15KB |
| 4. Logistic Regression Classifier Example Using Python.mp4 |
61.78MB |
| 4. Logistic Regression Classifier Example Using Python.vtt |
6.62KB |
| 4. NLP Pipeline and Its Example.mp4 |
75.04MB |
| 4. NLP Pipeline and Its Example.vtt |
7.15KB |
| 4. Region Coloring Problem.mp4 |
52.97MB |
| 4. Region Coloring Problem.vtt |
5.33KB |
| 5. Building Maze.mp4 |
77.30MB |
| 5. Building Maze.vtt |
7.68KB |
| 5. Naive Bayes Classifier and its Examples.mp4 |
126.49MB |
| 5. Naive Bayes Classifier and its Examples.vtt |
11.90KB |
| 5. Puzzle Solver and its Example.mp4 |
60.59MB |
| 5. Puzzle Solver and its Example.vtt |
6.09KB |
| 5. Regular Expression with NLTK.mp4 |
50.91MB |
| 5. Regular Expression with NLTK.vtt |
5.21KB |
| 6. Confusion Matrix.mp4 |
52.30MB |
| 6. Confusion Matrix.vtt |
4.29KB |
| 6. Puzzle Solver.mp4 |
105.07MB |
| 6. Puzzle Solver.vtt |
9.81KB |
| 6. Stemming.mp4 |
71.52MB |
| 6. Stemming.vtt |
6.94KB |
| 7. Example os Confusion Matrix.mp4 |
45.53MB |
| 7. Example os Confusion Matrix.vtt |
5.98KB |
| 7. Lemmatization.mp4 |
76.84MB |
| 7. Lemmatization.vtt |
6.48KB |
| 8. Segmentation.mp4 |
98.26MB |
| 8. Segmentation.vtt |
7.00KB |
| 8. Support Vector Machines Classifier(SVM).mp4 |
45.05MB |
| 8. Support Vector Machines Classifier(SVM).vtt |
5.59KB |
| 9. Segmentation Example.mp4 |
22.75MB |
| 9. Segmentation Example.vtt |
3.14KB |
| 9. SVM Classifier Examples.mp4 |
79.03MB |
| 9. SVM Classifier Examples.vtt |
7.75KB |