[FreeCourseLab.com] Udemy - Artificial Intelligence with Python

Creation Time	Nov. 11, 2023, 12:04 p.m.
Last Access Time	April 2, 2025, 8:15 a.m.
File Size	4.2 GB
Keywords	with Intelligence - Artificial Udemy Python FreeCourseLab com
Total Requests	30
Total Files	119
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9. Logic Programming/1. Concept of Logic Programming.mp4 154.2 MB
10. Heuristic Search/2. Local Search Technique.mp4 132.1 MB
8. Classifiers/5. Naive Bayes Classifier and its Examples.mp4 126.5 MB
11. Natural Language Processing/3. Raw Text Accessing (Tokenization).mp4 119.0 MB
1. Chapter 1/1. Random Forest and Extremely Random Forest.mp4 116.9 MB
2. Class Imbalance and Grid Search/2. Grid Search.mp4 110.3 MB
11. Natural Language Processing/13. Chunking.mp4 106.1 MB
10. Heuristic Search/6. Puzzle Solver.mp4 105.1 MB
10. Heuristic Search/3. Constraint Satisfaction Problem.mp4 105.0 MB
9. Logic Programming/3. Parsing Family Tree and its Example.mp4 100.5 MB
11. Natural Language Processing/8. Segmentation.mp4 98.3 MB
11. Natural Language Processing/16. Chunking wirh Regular Expression.mp4 95.6 MB
12. Introduction/2. Introduction to Predictive Analysis.mp4 95.4 MB
10. Heuristic Search/1. What is Heuristic Search.mp4 93.5 MB
7. Gaussian Mixture Model/2. Program of Gaussian Mixture Model.mp4 91.7 MB
11. Natural Language Processing/15. Chinking.mp4 87.9 MB
3. Adaboost Regressor/1. Adaboost Regressor.mp4 86.4 MB
2. Class Imbalance and Grid Search/1. Dealing with Class Imbalance.mp4 85.2 MB
3. Adaboost Regressor/3. Traffic Prediction.mp4 84.1 MB
12. Introduction/3. Shift Reduce Parsing.mp4 80.2 MB
8. Classifiers/9. SVM Classifier Examples.mp4 79.0 MB
11. Natural Language Processing/17. Named Entity Recognition.mp4 78.7 MB
9. Logic Programming/2. Matching the Mathematical Expression.mp4 78.5 MB
10. Heuristic Search/5. Building Maze.mp4 77.3 MB
11. Natural Language Processing/7. Lemmatization.mp4 76.8 MB
5. Affinity Propagation Model/1. Affinity Propagation Model.mp4 75.8 MB
11. Natural Language Processing/4. NLP Pipeline and Its Example.mp4 75.0 MB
4. Detecting patterns with Unsupervised Learning/1. Detecting patterns with Unsupervised Learning.mp4 74.8 MB
11. Natural Language Processing/6. Stemming.mp4 71.5 MB
11. Natural Language Processing/1. Natural Language Processing.mp4 70.6 MB
6. Clustering Quality/2. Program of Clustering Quality.mp4 70.2 MB
6. Clustering Quality/1. Clustering Quality.mp4 69.9 MB
11. Natural Language Processing/14. Representation of Chunks.mp4 69.7 MB
4. Detecting patterns with Unsupervised Learning/2. Clustering.mp4 69.7 MB
11. Natural Language Processing/20. Recursive Descent Parsing.mp4 66.3 MB
8. Classifiers/2. Processing Data.mp4 65.2 MB
7. Gaussian Mixture Model/1. Gaussian Mixture Model.mp4 62.4 MB
9. Logic Programming/4. Analyzing Geography Logic Programming.mp4 62.4 MB
11. Natural Language Processing/18. Trees.mp4 62.3 MB
8. Classifiers/4. Logistic Regression Classifier Example Using Python.mp4 61.8 MB
9. Logic Programming/5. Puzzle Solver and its Example.mp4 60.6 MB
4. Detecting patterns with Unsupervised Learning/4. Clustering Meanshift Continues.mp4 60.3 MB
11. Natural Language Processing/2. Examine Text Using NLTK.mp4 60.3 MB
4. Detecting patterns with Unsupervised Learning/3. Clustering Meanshift.mp4 55.5 MB
10. Heuristic Search/4. Region Coloring Problem.mp4 53.0 MB
8. Classifiers/6. Confusion Matrix.mp4 52.3 MB
11. Natural Language Processing/5. Regular Expression with NLTK.mp4 50.9 MB
11. Natural Language Processing/11. Information Extraction.mp4 50.6 MB
5. Affinity Propagation Model/2. Affinity Propagation Model Continues.mp4 47.3 MB
11. Natural Language Processing/12. Tag Patterns.mp4 46.7 MB
8. Classifiers/7. Example os Confusion Matrix.mp4 45.5 MB
8. Classifiers/8. Support Vector Machines Classifier(SVM).mp4 45.1 MB
12. Introduction/1. Recursive Descent Parsing Continues.mp4 42.5 MB
11. Natural Language Processing/19. Context Free Grammar.mp4 38.3 MB
3. Adaboost Regressor/2. Predicting Traffic Using Extremely Random Forest Regressor.mp4 34.6 MB
11. Natural Language Processing/10. Segmentation Example Continues.mp4 27.1 MB
11. Natural Language Processing/9. Segmentation Example.mp4 22.8 MB
8. Classifiers/1. Classification in Artificial Intelligence.mp4 21.2 MB
8. Classifiers/3. Logistic Regression Classifier.mp4 16.6 MB
9. Logic Programming/1. Concept of Logic Programming.vtt 12.7 KB
11. Natural Language Processing/3. Raw Text Accessing (Tokenization).vtt 12.5 KB
1. Chapter 1/1. Random Forest and Extremely Random Forest.vtt 12.2 KB
8. Classifiers/5. Naive Bayes Classifier and its Examples.vtt 11.9 KB
10. Heuristic Search/2. Local Search Technique.vtt 10.9 KB
2. Class Imbalance and Grid Search/2. Grid Search.vtt 10.9 KB
12. Introduction/3. Shift Reduce Parsing.vtt 10.7 KB
11. Natural Language Processing/11. Information Extraction.vtt 10.6 KB
11. Natural Language Processing/13. Chunking.vtt 10.5 KB
12. Introduction/2. Introduction to Predictive Analysis.vtt 10.2 KB
10. Heuristic Search/3. Constraint Satisfaction Problem.vtt 9.8 KB
10. Heuristic Search/6. Puzzle Solver.vtt 9.8 KB
9. Logic Programming/3. Parsing Family Tree and its Example.vtt 9.6 KB
8. Classifiers/2. Processing Data.vtt 9.0 KB
11. Natural Language Processing/15. Chinking.vtt 8.7 KB
7. Gaussian Mixture Model/2. Program of Gaussian Mixture Model.vtt 8.6 KB
11. Natural Language Processing/16. Chunking wirh Regular Expression.vtt 8.5 KB
11. Natural Language Processing/18. Trees.vtt 8.3 KB
12. Introduction/1. Recursive Descent Parsing Continues.vtt 8.3 KB
8. Classifiers/9. SVM Classifier Examples.vtt 7.8 KB
3. Adaboost Regressor/1. Adaboost Regressor.vtt 7.8 KB
10. Heuristic Search/5. Building Maze.vtt 7.7 KB
11. Natural Language Processing/20. Recursive Descent Parsing.vtt 7.3 KB
10. Heuristic Search/1. What is Heuristic Search.vtt 7.3 KB
4. Detecting patterns with Unsupervised Learning/2. Clustering.vtt 7.3 KB
6. Clustering Quality/2. Program of Clustering Quality.vtt 7.2 KB
11. Natural Language Processing/1. Natural Language Processing.vtt 7.2 KB
3. Adaboost Regressor/3. Traffic Prediction.vtt 7.2 KB
11. Natural Language Processing/4. NLP Pipeline and Its Example.vtt 7.2 KB
4. Detecting patterns with Unsupervised Learning/4. Clustering Meanshift Continues.vtt 7.2 KB
2. Class Imbalance and Grid Search/1. Dealing with Class Imbalance.vtt 7.1 KB
9. Logic Programming/2. Matching the Mathematical Expression.vtt 7.1 KB
11. Natural Language Processing/17. Named Entity Recognition.vtt 7.0 KB
11. Natural Language Processing/8. Segmentation.vtt 7.0 KB
11. Natural Language Processing/6. Stemming.vtt 6.9 KB
8. Classifiers/4. Logistic Regression Classifier Example Using Python.vtt 6.6 KB
11. Natural Language Processing/7. Lemmatization.vtt 6.5 KB
4. Detecting patterns with Unsupervised Learning/1. Detecting patterns with Unsupervised Learning.vtt 6.5 KB
5. Affinity Propagation Model/1. Affinity Propagation Model.vtt 6.3 KB
9. Logic Programming/5. Puzzle Solver and its Example.vtt 6.1 KB
8. Classifiers/7. Example os Confusion Matrix.vtt 6.0 KB
11. Natural Language Processing/14. Representation of Chunks.vtt 5.9 KB
9. Logic Programming/4. Analyzing Geography Logic Programming.vtt 5.8 KB
8. Classifiers/8. Support Vector Machines Classifier(SVM).vtt 5.6 KB
6. Clustering Quality/1. Clustering Quality.vtt 5.5 KB
10. Heuristic Search/4. Region Coloring Problem.vtt 5.3 KB
5. Affinity Propagation Model/2. Affinity Propagation Model Continues.vtt 5.2 KB
11. Natural Language Processing/5. Regular Expression with NLTK.vtt 5.2 KB
4. Detecting patterns with Unsupervised Learning/3. Clustering Meanshift.vtt 5.1 KB
11. Natural Language Processing/2. Examine Text Using NLTK.vtt 5.1 KB
7. Gaussian Mixture Model/1. Gaussian Mixture Model.vtt 4.9 KB
11. Natural Language Processing/10. Segmentation Example Continues.vtt 4.6 KB
8. Classifiers/6. Confusion Matrix.vtt 4.3 KB
8. Classifiers/1. Classification in Artificial Intelligence.vtt 3.8 KB
11. Natural Language Processing/19. Context Free Grammar.vtt 3.6 KB
11. Natural Language Processing/12. Tag Patterns.vtt 3.5 KB
8. Classifiers/3. Logistic Regression Classifier.vtt 3.3 KB
11. Natural Language Processing/9. Segmentation Example.vtt 3.1 KB
3. Adaboost Regressor/2. Predicting Traffic Using Extremely Random Forest Regressor.vtt 2.4 KB
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[FreeCourseLab.com] Udemy - Artificial Intelligence with Python

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