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Udemy - Artificial Intelligence With Python [TP]

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Udemy - Artificial Intelligence With Python [TP] (Size: 4.2 GB)
  1. Adaboost Regressor.mp4 86.4 MB
  1. Adaboost Regressor.vtt 7.8 KB
  1. Affinity Propagation Model.mp4 75.8 MB
  1. Affinity Propagation Model.vtt 6.3 KB
  1. Classification in Artificial Intelligence.mp4 21.2 MB
  1. Classification in Artificial Intelligence.vtt 3.8 KB
  1. Clustering Quality.mp4 69.9 MB
  1. Clustering Quality.vtt 5.5 KB
  1. Concept of Logic Programming.mp4 154.2 MB
  1. Concept of Logic Programming.vtt 12.7 KB
  1. Dealing with Class Imbalance.mp4 85.2 MB
  1. Dealing with Class Imbalance.vtt 7.1 KB
  1. Detecting patterns with Unsupervised Learning.mp4 74.8 MB
  1. Detecting patterns with Unsupervised Learning.vtt 6.5 KB
  1. Gaussian Mixture Model.mp4 62.4 MB
  1. Gaussian Mixture Model.vtt 4.9 KB
  1. Natural Language Processing.mp4 70.6 MB
  1. Natural Language Processing.vtt 7.2 KB
  1. Random Forest and Extremely Random Forest.mp4 116.9 MB
  1. Random Forest and Extremely Random Forest.vtt 12.2 KB
  1. Recursive Descent Parsing Continues.mp4 42.5 MB
  1. Recursive Descent Parsing Continues.vtt 8.3 KB
  1. What is Heuristic Search.mp4 93.5 MB
  1. What is Heuristic Search.vtt 7.3 KB
  10. Segmentation Example Continues.mp4 27.1 MB
  10. Segmentation Example Continues.vtt 4.6 KB
  11. Information Extraction.mp4 50.6 MB
  11. Information Extraction.vtt 10.6 KB
  12. Tag Patterns.mp4 46.7 MB
  12. Tag Patterns.vtt 3.5 KB
  13. Chunking.mp4 106.1 MB
  13. Chunking.vtt 10.5 KB
  14. Representation of Chunks.mp4 69.7 MB
  14. Representation of Chunks.vtt 5.9 KB
  15. Chinking.mp4 87.9 MB
  15. Chinking.vtt 8.7 KB
  16. Chunking wirh Regular Expression.mp4 95.6 MB
  16. Chunking wirh Regular Expression.vtt 8.5 KB
  17. Named Entity Recognition.mp4 78.7 MB
  17. Named Entity Recognition.vtt 7 KB
  18. Trees.mp4 62.3 MB
  18. Trees.vtt 8.3 KB
  19. Context Free Grammar.mp4 38.3 MB
  19. Context Free Grammar.vtt 3.6 KB
  2. Affinity Propagation Model Continues.mp4 47.3 MB
  2. Affinity Propagation Model Continues.vtt 5.2 KB
  2. Clustering.mp4 69.7 MB
  2. Clustering.vtt 7.3 KB
  2. Examine Text Using NLTK.mp4 60.3 MB
  2. Examine Text Using NLTK.vtt 5.1 KB
  2. Grid Search.mp4 110.3 MB
  2. Grid Search.vtt 10.9 KB
  2. Introduction to Predictive Analysis.mp4 95.4 MB
  2. Introduction to Predictive Analysis.vtt 10.2 KB
  2. Local Search Technique.mp4 132.1 MB
  2. Local Search Technique.vtt 10.9 KB
  2. Matching the Mathematical Expression.mp4 78.5 MB
  2. Matching the Mathematical Expression.vtt 7.1 KB
  2. Predicting Traffic Using Extremely Random Forest Regressor.mp4 34.6 MB
  2. Predicting Traffic Using Extremely Random Forest Regressor.vtt 2.4 KB
  2. Processing Data.mp4 65.2 MB
  2. Processing Data.vtt 9 KB
  2. Program of Clustering Quality.mp4 70.2 MB
  2. Program of Clustering Quality.vtt 7.2 KB
  2. Program of Gaussian Mixture Model.mp4 91.7 MB
  2. Program of Gaussian Mixture Model.vtt 8.6 KB
  20. Recursive Descent Parsing.mp4 66.3 MB
  20. Recursive Descent Parsing.vtt 7.3 KB
  3. Clustering Meanshift.mp4 55.5 MB
  3. Clustering Meanshift.vtt 5.1 KB
  3. Constraint Satisfaction Problem.mp4 105 MB
  3. Constraint Satisfaction Problem.vtt 9.8 KB
  3. Logistic Regression Classifier.mp4 16.6 MB
  3. Logistic Regression Classifier.vtt 3.3 KB
  3. Parsing Family Tree and its Example.mp4 100.5 MB
  3. Parsing Family Tree and its Example.vtt 9.6 KB
  3. Raw Text Accessing (Tokenization).mp4 119 MB
  3. Raw Text Accessing (Tokenization).vtt 12.5 KB
  3. Shift Reduce Parsing.mp4 80.2 MB
  3. Shift Reduce Parsing.vtt 10.7 KB
  3. Traffic Prediction.mp4 84.1 MB
  3. Traffic Prediction.vtt 7.2 KB
  4. Analyzing Geography Logic Programming.mp4 62.4 MB
  4. Analyzing Geography Logic Programming.vtt 5.8 KB
  4. Clustering Meanshift Continues.mp4 60.3 MB
  4. Clustering Meanshift Continues.vtt 7.2 KB
  4. Logistic Regression Classifier Example Using Python.mp4 61.8 MB
  4. Logistic Regression Classifier Example Using Python.vtt 6.6 KB
  4. NLP Pipeline and Its Example.mp4 75 MB
  4. NLP Pipeline and Its Example.vtt 7.2 KB
  4. Region Coloring Problem.mp4 53 MB
  4. Region Coloring Problem.vtt 5.3 KB
  5. Building Maze.mp4 77.3 MB
  5. Building Maze.vtt 7.7 KB
  5. Naive Bayes Classifier and its Examples.mp4 126.5 MB
  5. Naive Bayes Classifier and its Examples.vtt 11.9 KB
  5. Puzzle Solver and its Example.mp4 60.6 MB
  5. Puzzle Solver and its Example.vtt 6.1 KB
  5. Regular Expression with NLTK.mp4 50.9 MB
  5. Regular Expression with NLTK.vtt 5.2 KB
  6. Confusion Matrix.mp4 52.3 MB
  6. Confusion Matrix.vtt 4.3 KB
  6. Puzzle Solver.mp4 105.1 MB
  6. Puzzle Solver.vtt 9.8 KB
  6. Stemming.mp4 71.5 MB
  6. Stemming.vtt 6.9 KB
  7. Example os Confusion Matrix.mp4 45.5 MB
  7. Example os Confusion Matrix.vtt 6 KB
  7. Lemmatization.mp4 76.8 MB
  7. Lemmatization.vtt 6.5 KB
  8. Segmentation.mp4 98.3 MB
  8. Segmentation.vtt 7 KB
  8. Support Vector Machines Classifier(SVM).mp4 45.1 MB
  8. Support Vector Machines Classifier(SVM).vtt 5.6 KB
  9. SVM Classifier Examples.mp4 79 MB
  9. SVM Classifier Examples.vtt 7.8 KB
  9. Segmentation Example.mp4 22.8 MB
  9. Segmentation Example.vtt 3.1 KB
  [Tutorialsplanet.NET].url 102.4 B
  ▲ 119 total files

Description


Udemy - Artificial Intelligence With Python [TP]

This course is a comprehensive understanding of AI concepts and its application using Python and iPython.

For more Udemy Courses: https://tutorialsplanet.net

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