Deep Learning Jan 2025 udemy

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

/24 - Data Preprocessing/004 Machine Learning Workflow Data Splitting, Feature Scaling, and Model Training.mp4

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

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

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

/25 - Data Preprocessing in Python/019 Step 4 - How to Apply Feature Scaling to Training --& Test Sets in ML.srt

/25 - Data Preprocessing in Python/013 Step 1 - Machine Learning Data Prep Splitting Dataset Before Feature Scaling.mp4

/25 - Data Preprocessing in Python/019 Step 4 - How to Apply Feature Scaling to Training --& Test Sets in ML.mp4

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

/25 - Data Preprocessing in Python/006 Step 3 - Preprocessing Data Extracting Features and Target Variables in Python.srt

/25 - Data Preprocessing in Python/015 Step 3 - Preparing Data for ML Splitting Datasets with Python and Scikit-learn.srt

/25 - Data Preprocessing in Python/016 Step 1 - How to Apply Feature Scaling for Preprocessing Machine Learning Data.srt

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

/25 - Data Preprocessing in Python/018 Step 3 - Normalizing Data with Fit and Transform Methods in Scikit-learn.srt

/03 - ANN Intuition/007 Mastering Gradient Descent Key to Efficient Neural Network Training.srt

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