Description: This is a very simple demo for Vanilla Linear Regression Model (LRM) optimized via Vanilla Gradient Descent Method (GDM) on 1-D and 2-D data set. NOTE that the multicollinearity case is unexpectedly shown. A More advanced version is expected in the coming future. Anyway, JUST FOR FUN!
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LRM - GDM [Matlab+1.0]\Convergence Curve of Cost for 1-D Dataset.png
......................\Convergence Curve of Cost for 2-D Dataset with multicollinearity.png
......................\Convergence Curve of Cost for 2-D Dataset.png
......................\demoLRM_1.m
......................\demoLRM_2.m
......................\demoLRM_multicollinearity.m
......................\GDM-based LRM on 1-D Dataset.png
......................\GDM-based LRM on 2-D Dataset with multicollinearity [fig1].png
......................\GDM-based LRM on 2-D Dataset with multicollinearity [fig2].png
......................\GDM-based LRM on 2-D Dataset with multicollinearity [fig3].png
......................\GDM-based LRM on 2-D Dataset [fig1].png
......................\GDM-based LRM on 2-D Dataset [fig2].png
......................\GDM-based LRM on 2-D Dataset [fig3].png
......................\GDM.m
......................\normalizeFeature.m
......................\predictGDM.m
license.txt
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