Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python
python
machine-learning
entropy
probability
regression
naive-bayes-classifier
pca
linear
gradient-descent
ridge-regression
softmax-regression
maximum-likelihood-estimation
cross-entropy
principle-component-analysis
lasso-regression
information-gain
sigmoid-function
baysian
suprise
k-fold-cross-validation
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Updated
Jun 28, 2022 - HTML