Deep Learning Jan 2025 udemy

/24 - Data Preprocessing/002 How to Scale Features in Machine Learning Normalization vs Standardization.srt

/24 - Data Preprocessing/002 How to Scale Features in Machine Learning Normalization vs Standardization.mp4

/25 - Data Preprocessing in Python/017 Step 2 - Feature Scaling in Machine Learning When to Apply StandardScaler.srt

/25 - Data Preprocessing in Python/017 Step 2 - Feature Scaling in Machine Learning When to Apply StandardScaler.mp4

/20 - AutoEncoders Intuition/002 Autoencoders in Machine Learning Applications and Architecture Overview.srt

/24 - Data Preprocessing/003 Machine Learning Basics Using Train-Test Split to Evaluate Model Performance.srt

/25 - Data Preprocessing in Python/013 Step 1 - Machine Learning Data Prep Splitting Dataset Before Feature Scaling.srt

/09 - RNN Intuition/006 How LSTMs Work in Practice Visualizing Neural Network Predictions.srt

/24 - Data Preprocessing/004 Machine Learning Workflow Data Splitting, Feature Scaling, and Model Training.srt

/26 - Logistic Regression/011 Step 5 - Evaluating Machine Learning Models Confusion Matrix and Accuracy.srt

/26 - Logistic Regression/013 Step 6b - Visualizing Machine Learning Results Training vs Test Set Comparison.srt

/03 - ANN Intuition/008 How to Use Stochastic Gradient Descent for Deep Learning Optimization.srt

/20 - AutoEncoders Intuition/002 Autoencoders in Machine Learning Applications and Architecture Overview.mp4

/24 - Data Preprocessing/001 Data Preprocessing.html

/24 - Data Preprocessing/003 Machine Learning Basics Using Train-Test Split to Evaluate Model Performance.mp4

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