Udemy Data Science in Python Classification Modeling BOOKWARE-SOFTiMAGE | Apps-Tutorials | MP4,PDF,PKL | 3.74 GiB
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Udemy.Data.Science.in.Python.Classification.Modeling.BOOKWARE-SOFTiMAGE
RELEASE DATE....: 01/2024
RELEASE TYPE....: tut
RELEASE FORMAT..: vid
https://www.udemy.com/course/data-science-in-python-classification/
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375M 1. Introduction 30M 1. Introduction/1. Course Introduction.mp4 3.7M 1. Introduction/2. About This Series.mp4 12M 1. Introduction/3. Course Structure & Outline.mp4 12M 1. Introduction/4. Course Structure & Outline.mp4 8.0K 1. Introduction/5. READ ME Important Notes for New Students.html 4.0K 1. Introduction/6. DOWNLOAD Course Resources.html 35M 1. Introduction/6.1 Data Science in Python - Classification.pdf 245M 1. Introduction/6.2 Data Science in Python - Classification 245M 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials 12K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/.DS_Store 7.8M 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments 3.9M 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints 8.0K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/01_EDA_assignments-checkpoint.ipynb 916K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/01_EDA_solutions-checkpoint.ipynb 4.0K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/02_KNN_assignments-checkpoint.ipynb 212K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/02_KNN_solutions-checkpoint.ipynb 12K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/03_logistic_regression_assignments-checkpoint.ipynb 292K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/03_logistic_regression_solutions-checkpoint.ipynb 16K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/04_metrics_assignments-checkpoint.ipynb 172K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/04_metrics_solutions-checkpoint.ipynb 12K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/05_Imbalanced_data_assignments-checkpoint.ipynb 256K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/05_Imbalanced_data_solutions-checkpoint.ipynb 12K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/06_decision_tree_assignments-checkpoint.ipynb 272K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/06_decision_tree_solutions-checkpoint.ipynb 12K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/07_ensemble_method_assignments-checkpoint.ipynb 212K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/07_ensemble_method_solutions-checkpoint.ipynb 16K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/project_notebook-checkpoint.ipynb 1.5M 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/.ipynb_checkpoints/project_solutions-checkpoint.ipynb 8.0K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/01_EDA_assignments.ipynb 916K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/01_EDA_solutions.ipynb 4.0K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/02_KNN_assignments.ipynb 212K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/02_KNN_solutions.ipynb 12K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/03_logistic_regression_assignments.ipynb 292K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/03_logistic_regression_solutions.ipynb 16K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/04_metrics_assignments.ipynb 172K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/04_metrics_solutions.ipynb 12K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/05_Imbalanced_data_assignments.ipynb 256K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/05_Imbalanced_data_solutions.ipynb 12K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/06_decision_tree_assignments.ipynb 272K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/06_decision_tree_solutions.ipynb 12K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Assignments/07_ensemble_method_assignments.ipynb 212K 1. 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Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Data/creditcard.csv 4.1M 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Data/income.csv 34M 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos 8.0K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/.DS_Store 20M 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/.ipynb_checkpoints 6.8M 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/.ipynb_checkpoints/01_Data Prep & EDA Demos-checkpoint.ipynb 440K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/.ipynb_checkpoints/01_Data Prep & EDA Slides-checkpoint.ipynb 176K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/.ipynb_checkpoints/02_KNN Demos-checkpoint.ipynb 3.8M 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/.ipynb_checkpoints/02_KNN Slides-checkpoint.ipynb 60K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/.ipynb_checkpoints/03_Logistic Regression Demos-checkpoint.ipynb 228K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/.ipynb_checkpoints/03_Logistic Regression Slides-checkpoint.ipynb 160K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/.ipynb_checkpoints/04_Evaluation Metrics Demos-checkpoint.ipynb 128K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/.ipynb_checkpoints/04_Evaluation Metrics Slide-checkpoint.ipynb 240K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/.ipynb_checkpoints/05_Imbalanced Data Demos-checkpoint.ipynb 104K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/.ipynb_checkpoints/05_Imbalanced Data Slides-checkpoint.ipynb 1.2M 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/.ipynb_checkpoints/06_Decision Tree Demos-checkpoint.ipynb 340K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/.ipynb_checkpoints/06_Decision Trees Slides-checkpoint.ipynb 28K 1. 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Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/05_Imbalanced Data Slides.ipynb 1.2M 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/06_Decision Tree Demos.ipynb 340K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/06_Decision Trees Slides.ipynb 28K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/07_Ensemble Methods Slides.ipynb 136K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/07_Ensemble Models Demos.ipynb 24K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/08_Pipeline Scoring.ipynb 20K 1. Introduction/6.2 Data Science in Python - Classification/Classification_Course_Materials/Slides and Demos/08_Pipeline.ipynb 8.0K 1. 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Introduction/6.2 Data Science in Python - Classification/__MACOSX/Classification_Course_Materials/Data/._Social_Network_Ads.csv 4.0K 1. Introduction/6.2 Data Science in Python - Classification/__MACOSX/Classification_Course_Materials/Data/._credit_train_clean.csv 4.0K 1. Introduction/6.2 Data Science in Python - Classification/__MACOSX/Classification_Course_Materials/Data/._creditcard.csv 4.0K 1. Introduction/6.2 Data Science in Python - Classification/__MACOSX/Classification_Course_Materials/Data/._income.csv 12K 1. Introduction/6.2 Data Science in Python - Classification/__MACOSX/Classification_Course_Materials/Slides and Demos 4.0K 1. Introduction/6.2 Data Science in Python - Classification/__MACOSX/Classification_Course_Materials/Slides and Demos/._.DS_Store 4.0K 1. Introduction/6.2 Data Science in Python - Classification/__MACOSX/Classification_Course_Materials/Slides and Demos/._02_KNN Slides.ipynb 4.5M 1. Introduction/7. Introducing the Course Project.mp4 11M 1. Introduction/8. Setting Expectations.mp4 24M 1. Introduction/9. Jupyter Installation & Launch.mp4 283M 10. Decision Trees 19M 10. Decision Trees/1. Decision Trees.mp4 23M 10. Decision Trees/10. DEMO Hyperparameter Tuning.mp4 3.6M 10. Decision Trees/11. ASSIGNMENT Tuned Decision Tree.mp4 27M 10. Decision Trees/12. SOLUTION Tuned Decision Tree.mp4 17M 10. Decision Trees/13. Pros & Cons of Decision Trees.mp4 6.5M 10. Decision Trees/14. Key Takeaways.mp4 4.0K 10. Decision Trees/15. Decision Trees.html 25M 10. Decision Trees/2. Entropy.mp4 21M 10. Decision Trees/3. Decision Tree Predictions.mp4 16M 10. Decision Trees/4. Decision Trees in Python.mp4 33M 10. Decision Trees/5. DEMO Decision Trees.mp4 29M 10. Decision Trees/6. Feature Importance.mp4 5.7M 10. Decision Trees/7. ASSIGNMENT Decision Trees.mp4 36M 10. Decision Trees/8. SOLUTION Decision Trees.mp4 27M 10. Decision Trees/9. Hyperparameter Tuning for Decision Trees.mp4 435M 11. Ensemble Models 21M 11. Ensemble Models/1. Ensemble Models.mp4 11M 11. Ensemble Models/10. Pros & Cons of Random Forests.mp4 5.2M 11. Ensemble Models/11. ASSIGNMENT Random Forests.mp4 44M 11. Ensemble Models/12. SOLUTION Random Forests.mp4 9.7M 11. Ensemble Models/13. Gradient Boosting.mp4 13M 11. Ensemble Models/14. Gradient Boosting in Python.mp4 29M 11. Ensemble Models/15. Hyperparameter Tuning for Gradient Boosting.mp4 23M 11. Ensemble Models/16. DEMO Hyperparameter Tuning for Gradient Boosting.mp4 11M 11. Ensemble Models/17. Pros & Cons of Gradient Boosting.mp4 5.0M 11. Ensemble Models/18. ASSIGNMENT Gradient Boosting.mp4 31M 11. Ensemble Models/19. SOLUTION Gradient Boosting.mp4 13M 11. Ensemble Models/2. Simple Ensemble Models.mp4 33M 11. Ensemble Models/20. PRO TIP SHAP Values.mp4 29M 11. Ensemble Models/21. DEMO SHAP Values.mp4 6.4M 11. Ensemble Models/22. Key Takeaways.mp4 4.0K 11. Ensemble Models/23. DEMO Ensemble Models.html 4.0K 11. Ensemble Models/24. Ensemble Models.html 27M 11. Ensemble Models/3. DEMO Simple Ensemble Models.mp4 8.3M 11. Ensemble Models/4. ASSIGNMENT Simple Ensemble Models.mp4 28M 11. Ensemble Models/5. SOLUTION Simple Ensemble Models.mp4 6.4M 11. Ensemble Models/6. Random Forests.mp4 22M 11. Ensemble Models/7. Fitting Random Forests in Python.mp4 29M 11. Ensemble Models/8. Hyperparameter Tuning for Random Forests.mp4 37M 11. Ensemble Models/9. PRO TIP Random Search.mp4 115M 12. Classification Summary 14M 12. Classification Summary/1. Recap Classification Models & Workflow.mp4 21M 12. Classification Summary/2. Pros & Cons of Classification Models.mp4 76M 12. Classification Summary/3. DEMO Production Pipeline & Deployment.mp4 5.6M 12. Classification Summary/4. Looking Ahead Unsupervised Learning.mp4 73M 13. Final Project 17M 13. Final Project/1. Project Brief.mp4 56M 13. Final Project/2. Solution Walkthrough.mp4 16K 14. Next Steps 12K 14. Next Steps/1. BONUS LESSON.html 98M 2. Intro to Data Science 13M 2. Intro to Data Science/1. What is Data Science.mp4 4.0K 2. Intro to Data Science/10. Intro to Data Science.html 7.3M 2. Intro to Data Science/2. The Data Science Skillset.mp4 14M 2. Intro to Data Science/3. What is Machine Learning.mp4 11M 2. Intro to Data Science/4. Common Machine Learning Algorithms.mp4 5.6M 2. Intro to Data Science/5. Data Science Workflow.mp4 20M 2. Intro to Data Science/6. Data Prep & EDA Steps.mp4 18M 2. Intro to Data Science/7. Modeling Steps.mp4 3.6M 2. Intro to Data Science/8. Classification Modeling.mp4 7.6M 2. Intro to Data Science/9. Key Takeaways.mp4 73M 3. Classification 101 30M 3. Classification 101/1. Classification 101.mp4 11M 3. Classification 101/2. Goals of Classification.mp4 11M 3. Classification 101/3. Types of Classification.mp4 14M 3. Classification 101/4. Classification Modeling Workflow.mp4 7.9M 3. Classification 101/5. Key Takeaways.mp4 4.0K 3. Classification 101/6. Classification 101.html 661M 4. Data Prep & EDA 19M 4. Data Prep & EDA/1. EDA For Classification.mp4 13M 4. Data Prep & EDA/10. PRO TIP Correlation Matrix.mp4 32M 4. Data Prep & EDA/11. DEMO Correlation Matrix.mp4 38M 4. Data Prep & EDA/12. Feature-Target Relationships.mp4 14M 4. Data Prep & EDA/13. Feature-Feature Relationships.mp4 44M 4. Data Prep & EDA/14. PRO TIP Pair Plots.mp4 12M 4. Data Prep & EDA/15. ASSIGNMENT Exploring Relationships.mp4 52M 4. Data Prep & EDA/16. SOLUTION Exploring Relationships.mp4 25M 4. Data Prep & EDA/17. Feature Engineering Overview.mp4 23M 4. Data Prep & EDA/18. Numeric Feature Engineering.mp4 25M 4. Data Prep & EDA/19. Dummy Variables.mp4 22M 4. Data Prep & EDA/2. Defining a Target.mp4 20M 4. Data Prep & EDA/20. Binning Categories.mp4 45M 4. Data Prep & EDA/21. DEMO Feature Engineering.mp4 32M 4. Data Prep & EDA/22. Data Splitting.mp4 9.5M 4. Data Prep & EDA/23. Preparing Data for Modeling.mp4 7.6M 4. Data Prep & EDA/24. ASSIGNMENT Preparing the Data for Modeling.mp4 58M 4. Data Prep & EDA/25. SOLUTION Prepare the Data for Modeling.mp4 7.3M 4. Data Prep & EDA/26. Key Takeaways.mp4 4.0K 4. Data Prep & EDA/27. Data Prep & EDA.html 37M 4. Data Prep & EDA/3. DEMO Defining a Target.mp4 20M 4. Data Prep & EDA/4. Exploring the Target.mp4 11M 4. Data Prep & EDA/5. Exploring the Features.mp4 29M 4. Data Prep & EDA/6. DEMO Exploring the Features.mp4 15M 4. Data Prep & EDA/7. ASSIGNMENT Exploring the Target & Features.mp4 40M 4. Data Prep & EDA/8. SOLUTION Exploring the Target & Features.mp4 22M 4. Data Prep & EDA/9. Correlation.mp4 403M 5. K-Nearest Neighbors 31M 5. K-Nearest Neighbors/1. K-Nearest Neighbors.mp4 38M 5. K-Nearest Neighbors/10. Overfitting & Validation.mp4 30M 5. K-Nearest Neighbors/11. DEMO Hyperparameter Tuning.mp4 24M 5. K-Nearest Neighbors/12. Hard vs. Soft Classification.mp4 60M 5. K-Nearest Neighbors/13. DEMO Probability vs. Event Rate.mp4 7.4M 5. K-Nearest Neighbors/14. ASSIGNMENT Tuning a KNN Model.mp4 25M 5. K-Nearest Neighbors/15. SOLUTION Tuning a KNN Model.mp4 26M 5. K-Nearest Neighbors/16. Pros & Cons of KNN.mp4 6.1M 5. K-Nearest Neighbors/17. Key Takeaways.mp4 4.0K 5. K-Nearest Neighbors/18. K-Nearest Neighbors.html 28M 5. K-Nearest Neighbors/2. The KNN Workflow.mp4 12M 5. K-Nearest Neighbors/3. KNN in Python.mp4 21M 5. K-Nearest Neighbors/4. Model Accuracy.mp4 21M 5. K-Nearest Neighbors/5. Confusion Matrix.mp4 24M 5. K-Nearest Neighbors/6. DEMO Confusion Matrix.mp4 11M 5. K-Nearest Neighbors/7. ASSIGNMENT Fitting a Simple KNN Model.mp4 29M 5. K-Nearest Neighbors/8. SOLUTION Fitting a Simple KNN Model.mp4 17M 5. K-Nearest Neighbors/9. Hyperparameter Tuning.mp4 403M 6. Logistic Regression 16M 6. Logistic Regression/1. Logistic Regression.mp4 25M 6. Logistic Regression/10. SOLUTION Logistic Regression.mp4 22M 6. Logistic Regression/11. Feature Engineering & Selection.mp4 25M 6. Logistic Regression/12. Regularization.mp4 22M 6. Logistic Regression/13. Tuning a Regularized Model.mp4 32M 6. Logistic Regression/14. DEMO Regularized Logistic Regression.mp4 6.9M 6. Logistic Regression/15. ASSIGNMENT Regularized Logistic Regression.mp4 44M 6. Logistic Regression/16. SOLUTION Regularized Logistic Regression.mp4 35M 6. Logistic Regression/17. Multi-class Logistic Regression.mp4 8.2M 6. Logistic Regression/18. ASSIGNMENT Multi-class Logistic Regression.mp4 20M 6. Logistic Regression/19. SOLUTION Multi-class Logistic Regression.mp4 12M 6. Logistic Regression/2. Logistic vs. Linear Regression.mp4 17M 6. Logistic Regression/20. Pros & Cons of Logistic Regression.mp4 8.0M 6. Logistic Regression/21. Key Takeaways.mp4 4.0K 6. Logistic Regression/22. Logistic Regression.html 15M 6. Logistic Regression/3. The Logistic Function.mp4 24M 6. Logistic Regression/4. Likelihood.mp4 15M 6. Logistic Regression/5. Multiple Logistic Regression.mp4 4.5M 6. Logistic Regression/6. The Logistic Regression Workflow.mp4 28M 6. Logistic Regression/7. Logistic Regression in Python.mp4 22M 6. Logistic Regression/8. Interpreting Coefficients.mp4 9.5M 6. Logistic Regression/9. ASSIGNMENT Logistic Regression.mp4 390M 7. Classification Metrics 14M 7. Classification Metrics/1. Classification Metrics.mp4 24M 7. Classification Metrics/10. DEMO Plotting Precision-Recall & F1 Curves.mp4 20M 7. Classification Metrics/11. The ROC Curve & AUC.mp4 20M 7. Classification Metrics/12. DEMO The ROC Curve & AUC.mp4 15M 7. Classification Metrics/13. Classification Metrics Recap.mp4 7.1M 7. Classification Metrics/14. ASSIGNMENT Threshold Shifting.mp4 37M 7. Classification Metrics/15. SOLUTION Threshold Shifting.mp4 30M 7. Classification Metrics/16. Multi-class Metrics.mp4 8.5M 7. Classification Metrics/17. Multi-class Metrics in Python.mp4 6.3M 7. Classification Metrics/18. ASSIGNMENT Multi-class Metrics.mp4 17M 7. Classification Metrics/19. SOLUTION Multi-class Metrics.mp4 30M 7. Classification Metrics/2. Accuracy, Precision & Recall.mp4 9.9M 7. Classification Metrics/20. Key Takeaways.mp4 4.0K 7. Classification Metrics/21. Classification Metrics.html 34M 7. Classification Metrics/3. DEMO Accuracy, Precision & Recall.mp4 19M 7. Classification Metrics/4. PRO TIP F1 Score.mp4 5.3M 7. Classification Metrics/5. ASSIGNMENT Model Metrics.mp4 25M 7. Classification Metrics/6. SOLUTION Model Metrics.mp4 32M 7. Classification Metrics/7. Soft Classification.mp4 20M 7. Classification Metrics/8. DEMO Leveraging Soft Classification.mp4 21M 7. Classification Metrics/9. PRO TIP Precision-Recall & F1 Curves.mp4 322M 8. Imbalanced Data 24M 8. Imbalanced Data/1. Imbalanced Data.mp4 9.9M 8. Imbalanced Data/10. Undersampling.mp4 34M 8. Imbalanced Data/11. Undersampling in Python.mp4 17M 8. Imbalanced Data/12. ASSIGNMENT Sampling Methods.mp4 46M 8. Imbalanced Data/13. SOLUTION Sampling Methods.mp4 17M 8. Imbalanced Data/14. Changing Class Weights.mp4 22M 8. Imbalanced Data/15. DEMO Changing Class Weights.mp4 4.3M 8. Imbalanced Data/16. ASSIGNMENT Changing Class Weights.mp4 22M 8. Imbalanced Data/17. SOLUTION Changing Class Weights.mp4 8.3M 8. Imbalanced Data/18. Imbalanced Data Recap.mp4 5.6M 8. Imbalanced Data/19. Key Takeaways.mp4 22M 8. Imbalanced Data/2. Managing Imbalanced Data.mp4 4.0K 8. Imbalanced Data/20. Imbalanced Data.html 12M 8. Imbalanced Data/3. Threshold Shifting.mp4 11M 8. Imbalanced Data/4. Sampling Strategies.mp4 7.3M 8. Imbalanced Data/5. Oversampling.mp4 16M 8. Imbalanced Data/6. Oversampling in Python.mp4 29M 8. Imbalanced Data/7. DEMO Oversampling.mp4 5.7M 8. Imbalanced Data/8. SMOTE.mp4 15M 8. Imbalanced Data/9. SMOTE in Python.mp4 101M 9. Mid-Course Project 25M 9. Mid-Course Project/1. Project Brief.mp4 76M 9. Mid-Course Project/2. Solution Walkthrough.mp4 3.7G total
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