Unit 1 Prediction on the Revenue of Advertising Investment via Simple Linear Regression Model
1.1 Introduction to Simple Linear Regression
1.2 Dataset Reading
1.3 Data Correlation Analysis
1.4 Data Processing
1.5 Data Normalization
1.6 Define Loss Function
1.7 Define GradientDescent Function
1.8 Training Model
1.9 Simple Linear Model Loss
1.10 Draw the Contour Plot of wand b
Unit 2 Prediction on the Revenue of Advertising Investment via Multiple Linear Regression Model
2.1 Introduction to Multiple Linear Regression
2.2 Dataset Reading
2.3 Generate Training and Test Sets
2.4 Denormalization
2.5 Define Loss Function and Mean Square Error (MSE) Loss Function
2.6 Define GradientDescent Function
2.7 Model Definition and Training
2.8 Loss Calculation
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