decision trees
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regression with CART
Statistics and Machine Learning
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data
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height data
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hypothesis testing
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one-sample t-test
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independent samples t-test
confidence interval
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basic concepts
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analytical confidence interval
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empirical confidence interval
permutation
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the problem with t-test
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permutation test
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numpy vs pandas
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exact vs. Monte Carlo permutation tests
regression
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the geometry of regression
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least squares
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equivalence
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partitioning of the sum of squares
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linear mixed effect model
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logistic regression
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logistic 2d
correlation
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correlation
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correlation and linear regression
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cosine
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significance (p-value)
bayes
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from the ground up
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parametric generative classification
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odds and log likelihood
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logistic connection
svd and pca
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SVD for image compression
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SVD for regression
decision trees
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classification with CART
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regression with CART
miscellaneous
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trend test
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entropy
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cross-entropy and KL divergence
decision trees
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regression with CART
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regression with CART
Code
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classification with CART
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trend test