Udemy Machine Learning AI Python

/24 - Evaluating Classification Models Performance/005 Conclusion of Part 3 - Classification.html

/24 - Evaluating Classification Models Performance/005 Classification-Pros-Cons.pdf

/24 - Evaluating Classification Models Performance/006 Evaluating Classiification Model Performance Quiz.html

/14 - Regression Model Selection in R/003 Conclusion of Part 2 - Regression.html

/27 - Hierarchical Clustering/016 Conclusion of Part 4 - Clustering.html

/13 - Regression Model Selection in Python/008 Conclusion of Part 2 - Regression.html

/12 - Evaluating Regression Models Performance/003 Evaluating Regression Models Performance Quiz.html

/21 - Decision Tree Classification/007 Decision Tree Classification Quiz.html

/22 - Random Forest Classification/007 Random Forest Classification Quiz.html

/24 - Evaluating Classification Models Performance/001 Logistic Regression Interpreting Predictions and Errors in Data Science.mp4

/24 - Evaluating Classification Models Performance/004 Mastering CAP Analysis Assessing Classification Models with Accuracy Ratio.mp4

/15 - -------------------- Part 3 Classification --------------------/001 Welcome to Part 3 - Classification.html

/24 - Evaluating Classification Models Performance/002 Machine Learning Model Evaluation Accuracy Paradox and Better Metrics.mp4

/10 - Decision Tree Regression/011 Decision Tree Regression Quiz.html

/16 - Logistic Regression/028 Machine Learning Regression and Classification EXTRA.html

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