6. More Data Mining and Machine Learning Techniques

hazırlayan Hassan 731,282 KB • 21 dosyalar

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1. K-Nearest-Neighbors Concepts.mp4

1. K-Nearest-Neighbors Concepts.mp4

1. K-Nearest-Neighbors Concepts.srt

1. K-Nearest-Neighbors Concepts.srt

2. [Activity] Using KNN to predict a rating for a movie.mp4

2. [Activity] Using KNN to predict a rating for a movie.mp4

2. [Activity] Using KNN to predict a rating for a movie.srt

2. [Activity] Using KNN to predict a rating for a movie.srt

3. Dimensionality Reduction; Principal Component Analysis.mp4

3. Dimensionality Reduction; Principal Component Analysis.mp4

3. Dimensionality Reduction; Principal Component Analysis.srt

3. Dimensionality Reduction; Principal Component Analysis.srt

4. [Activity] PCA Example with the Iris data set.mp4

4. [Activity] PCA Example with the Iris data set.mp4

4. [Activity] PCA Example with the Iris data set.srt

4. [Activity] PCA Example with the Iris data set.srt

5. Data Warehousing Overview ETL and ELT.mp4

5. Data Warehousing Overview ETL and ELT.mp4

5. Data Warehousing Overview ETL and ELT.srt

5. Data Warehousing Overview ETL and ELT.srt

6.1 Cat and Mouse Example.html

6.1 Cat and Mouse Example.html

6.2 Pac-Man Example.html

6.2 Pac-Man Example.html

6.3 Python Markov Decision Process Toolbox.html

6.3 Python Markov Decision Process Toolbox.html

6. Reinforcement Learning.mp4

6. Reinforcement Learning.mp4

6. Reinforcement Learning.srt

6. Reinforcement Learning.srt

7. [Activity] Reinforcement Learning & Q-Learning with Gym.mp4

7. [Activity] Reinforcement Learning & Q-Learning with Gym.mp4

7. [Activity] Reinforcement Learning & Q-Learning with Gym.srt

7. [Activity] Reinforcement Learning & Q-Learning with Gym.srt

8. Understanding a Confusion Matrix.mp4

8. Understanding a Confusion Matrix.mp4

8. Understanding a Confusion Matrix.srt

8. Understanding a Confusion Matrix.srt

9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).mp4

9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).mp4

9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).srt

9. Measuring Classifiers (Precision, Recall, F1, ROC, AUC).srt

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