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/24. Data Preprocessing/2. How to Scale Features in Machine Learning Normalization vs Standardization.vtt

/24. Data Preprocessing/2. How to Scale Features in Machine Learning Normalization vs Standardization.mp4

/25. Data Preprocessing in Python/17. Step 2 - Feature Scaling in Machine Learning When to Apply StandardScaler.vtt

/25. Data Preprocessing in Python/17. Step 2 - Feature Scaling in Machine Learning When to Apply StandardScaler.mp4

/20. AutoEncoders Intuition/2. Autoencoders in Machine Learning Applications and Architecture Overview.vtt

/25. Data Preprocessing in Python/13. Step 1 - Machine Learning Data Prep Splitting Dataset Before Feature Scaling.vtt

/24. Data Preprocessing/3. Machine Learning Basics Using Train-Test Split to Evaluate Model Performance.vtt

/09. RNN Intuition/6. How LSTMs Work in Practice Visualizing Neural Network Predictions.vtt

/24. Data Preprocessing/0. Websites you may like/[FreeCourseSite.com].url

/24. Data Preprocessing/4. Machine Learning Workflow Data Splitting, Feature Scaling, and Model Training.vtt

/26. Logistic Regression/11. Step 5 - Evaluating Machine Learning Models Confusion Matrix and Accuracy.vtt

/26. Logistic Regression/13. Step 6b - Visualizing Machine Learning Results Training vs Test Set Comparison.vtt

/03. ANN Intuition/8. How to Use Stochastic Gradient Descent for Deep Learning Optimization.vtt

/20. AutoEncoders Intuition/2. Autoencoders in Machine Learning Applications and Architecture Overview.mp4

/25. Data Preprocessing in Python/13. Step 1 - Machine Learning Data Prep Splitting Dataset Before Feature Scaling.mp4

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