This is an undergraduate course on linear models.
Slides and Courses
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Introduction: LeastSquare_1D_en.pdf, LeastSquare_1D_en.ipynb, LeastSquare_1D_en.html
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Least squares : LeastSquare_Def_en.pdf, LeastSquare_1D_fr.ipynb, LeastSquare_Def_en.html
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Least squares (properties) : LeastSquare_Prop_fr.pdf
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SVD: SVD_en.pdf (in French), SVD.ipynb, SVD.html
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PCA: PCA_en.pdf (in French), PCA.ipynb, PCA.html
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IntroIC: IntroIC_en.pdf (in French), IntroIC.ipynb, IntroIC.html
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Bootstrap: Bootstrap_en.pdf,
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IntroTests: IntroTests_en.pdf, forward_variable_selection.ipynb, forward_variable_selection.html
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Ridge: Ridge_en.pdf, Ridge_en.ipynb, Ridge_en.html
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Lasso: Lasso_en.pdf, Lasso_fr.ipynb, Lasso_fr.html, functions_Lasso.py, prox_collection.py
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Coordinate descent: CD_en.pdf (in French), CD_fr.ipynb, CD_fr.html
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GLM: GLM_en.pdf (in French), GLM_fr.ipynb, GLM_fr.html
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Generalization: Generalization_en.pdf, Generalization_fr.ipynb, Generalization_fr.html
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Categorical variables: CategoricalVariables.ipynb, CategoricalVariables.html