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[FreeCourseLab com] Udemy - Artificial Intelligence with Python

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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
16E351A5120B796677A34626E50F4B61F784EA95
Source
Unverified
Total Size
4.22 GB
Total Files
100
Seeders
0
Leechers
2
Health
Score
2
Type
Bookware

File List

FileSize
1. Chapter 1/1. Random Forest and Extremely Random Forest.mp4116.87 MB
1. Chapter 1/1. Random Forest and Extremely Random Forest.vtt12.19 KB
10. Heuristic Search/1. What is Heuristic Search.mp493.51 MB
10. Heuristic Search/1. What is Heuristic Search.vtt7.27 KB
10. Heuristic Search/2. Local Search Technique.mp4132.06 MB
10. Heuristic Search/2. Local Search Technique.vtt10.9 KB
10. Heuristic Search/3. Constraint Satisfaction Problem.mp4105.05 MB
10. Heuristic Search/3. Constraint Satisfaction Problem.vtt9.81 KB
10. Heuristic Search/4. Region Coloring Problem.mp452.97 MB
10. Heuristic Search/4. Region Coloring Problem.vtt5.33 KB
10. Heuristic Search/5. Building Maze.mp477.3 MB
10. Heuristic Search/5. Building Maze.vtt7.68 KB
10. Heuristic Search/6. Puzzle Solver.mp4105.07 MB
10. Heuristic Search/6. Puzzle Solver.vtt9.81 KB
11. Natural Language Processing/1. Natural Language Processing.mp470.62 MB
11. Natural Language Processing/1. Natural Language Processing.vtt7.23 KB
11. Natural Language Processing/10. Segmentation Example Continues.mp427.05 MB
11. Natural Language Processing/10. Segmentation Example Continues.vtt4.64 KB
11. Natural Language Processing/11. Information Extraction.mp450.62 MB
11. Natural Language Processing/11. Information Extraction.vtt10.64 KB
11. Natural Language Processing/12. Tag Patterns.mp446.73 MB
11. Natural Language Processing/12. Tag Patterns.vtt3.52 KB
11. Natural Language Processing/13. Chunking.mp4106.1 MB
11. Natural Language Processing/13. Chunking.vtt10.47 KB
11. Natural Language Processing/14. Representation of Chunks.mp469.71 MB
11. Natural Language Processing/14. Representation of Chunks.vtt5.91 KB
11. Natural Language Processing/15. Chinking.mp487.89 MB
11. Natural Language Processing/15. Chinking.vtt8.72 KB
11. Natural Language Processing/16. Chunking wirh Regular Expression.mp495.61 MB
11. Natural Language Processing/16. Chunking wirh Regular Expression.vtt8.51 KB
11. Natural Language Processing/17. Named Entity Recognition.mp478.67 MB
11. Natural Language Processing/17. Named Entity Recognition.vtt7.04 KB
11. Natural Language Processing/18. Trees.mp462.27 MB
11. Natural Language Processing/18. Trees.vtt8.29 KB
11. Natural Language Processing/19. Context Free Grammar.mp438.27 MB
11. Natural Language Processing/19. Context Free Grammar.vtt3.59 KB
11. Natural Language Processing/2. Examine Text Using NLTK.mp460.29 MB
11. Natural Language Processing/2. Examine Text Using NLTK.vtt5.09 KB
11. Natural Language Processing/20. Recursive Descent Parsing.mp466.34 MB
11. Natural Language Processing/20. Recursive Descent Parsing.vtt7.28 KB
11. Natural Language Processing/3. Raw Text Accessing (Tokenization).mp4118.99 MB
11. Natural Language Processing/3. Raw Text Accessing (Tokenization).vtt12.5 KB
11. Natural Language Processing/4. NLP Pipeline and Its Example.mp475.04 MB
11. Natural Language Processing/4. NLP Pipeline and Its Example.vtt7.15 KB
11. Natural Language Processing/5. Regular Expression with NLTK.mp450.91 MB
11. Natural Language Processing/5. Regular Expression with NLTK.vtt5.21 KB
11. Natural Language Processing/6. Stemming.mp471.52 MB
11. Natural Language Processing/6. Stemming.vtt6.94 KB
11. Natural Language Processing/7. Lemmatization.mp476.84 MB
11. Natural Language Processing/7. Lemmatization.vtt6.48 KB
11. Natural Language Processing/8. Segmentation.mp498.26 MB
11. Natural Language Processing/8. Segmentation.vtt7 KB
11. Natural Language Processing/9. Segmentation Example.mp422.75 MB
11. Natural Language Processing/9. Segmentation Example.vtt3.14 KB
12. Introduction/1. Recursive Descent Parsing Continues.mp442.46 MB
12. Introduction/1. Recursive Descent Parsing Continues.vtt8.28 KB
12. Introduction/2. Introduction to Predictive Analysis.mp495.43 MB
12. Introduction/2. Introduction to Predictive Analysis.vtt10.17 KB
12. Introduction/3. Shift Reduce Parsing.mp480.19 MB
12. Introduction/3. Shift Reduce Parsing.vtt10.69 KB
2. Class Imbalance and Grid Search/1. Dealing with Class Imbalance.mp485.23 MB
2. Class Imbalance and Grid Search/1. Dealing with Class Imbalance.vtt7.14 KB
2. Class Imbalance and Grid Search/2. Grid Search.mp4110.32 MB
2. Class Imbalance and Grid Search/2. Grid Search.vtt10.89 KB
3. Adaboost Regressor/1. Adaboost Regressor.mp486.36 MB
3. Adaboost Regressor/1. Adaboost Regressor.vtt7.75 KB
3. Adaboost Regressor/2. Predicting Traffic Using Extremely Random Forest Regressor.mp434.57 MB
3. Adaboost Regressor/2. Predicting Traffic Using Extremely Random Forest Regressor.vtt2.4 KB
3. Adaboost Regressor/3. Traffic Prediction.mp484.12 MB
3. Adaboost Regressor/3. Traffic Prediction.vtt7.16 KB
4. Detecting patterns with Unsupervised Learning/1. Detecting patterns with Unsupervised Learning.mp474.85 MB
4. Detecting patterns with Unsupervised Learning/1. Detecting patterns with Unsupervised Learning.vtt6.45 KB
4. Detecting patterns with Unsupervised Learning/2. Clustering.mp469.67 MB
4. Detecting patterns with Unsupervised Learning/2. Clustering.vtt7.25 KB
4. Detecting patterns with Unsupervised Learning/3. Clustering Meanshift.mp455.48 MB
4. Detecting patterns with Unsupervised Learning/3. Clustering Meanshift.vtt5.12 KB
4. Detecting patterns with Unsupervised Learning/4. Clustering Meanshift Continues.mp460.29 MB
4. Detecting patterns with Unsupervised Learning/4. Clustering Meanshift Continues.vtt7.15 KB
5. Affinity Propagation Model/1. Affinity Propagation Model.mp475.82 MB
5. Affinity Propagation Model/1. Affinity Propagation Model.vtt6.32 KB
5. Affinity Propagation Model/2. Affinity Propagation Model Continues.mp447.26 MB
5. Affinity Propagation Model/2. Affinity Propagation Model Continues.vtt5.22 KB
6. Clustering Quality/1. Clustering Quality.mp469.91 MB
6. Clustering Quality/1. Clustering Quality.vtt5.48 KB
6. Clustering Quality/2. Program of Clustering Quality.mp470.21 MB
6. Clustering Quality/2. Program of Clustering Quality.vtt7.24 KB
7. Gaussian Mixture Model/1. Gaussian Mixture Model.mp462.42 MB
7. Gaussian Mixture Model/1. Gaussian Mixture Model.vtt4.92 KB
7. Gaussian Mixture Model/2. Program of Gaussian Mixture Model.mp491.68 MB
7. Gaussian Mixture Model/2. Program of Gaussian Mixture Model.vtt8.63 KB
8. Classifiers/1. Classification in Artificial Intelligence.mp421.2 MB
8. Classifiers/1. Classification in Artificial Intelligence.vtt3.82 KB
8. Classifiers/2. Processing Data.mp465.18 MB
8. Classifiers/2. Processing Data.vtt9 KB
8. Classifiers/3. Logistic Regression Classifier.mp416.62 MB
8. Classifiers/3. Logistic Regression Classifier.vtt3.25 KB
8. Classifiers/4. Logistic Regression Classifier Example Using Python.mp461.78 MB
8. Classifiers/4. Logistic Regression Classifier Example Using Python.vtt6.62 KB
8. Classifiers/5. Naive Bayes Classifier and its Examples.mp4126.49 MB
8. Classifiers/5. Naive Bayes Classifier and its Examples.vtt11.9 KB

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