A Python library of 'old school' machine learning methods such as linear regression, logistic regression, naive Bayes, k-nearest neighbors, decision trees, and support vector machines.
machine-learning
random-forest
numpy
svm
naive-bayes
linear-regression
pandas
supervised-learning
logistic-regression
ridge-regression
decision-tree
principal-component-analysis
quadratic-discriminant-analysis
linear-discriminant-analysis
gradient-boosting
lasso-regression
bagging
knearest-neighbors
bootstrap-aggregating
box-cox
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Updated
Aug 8, 2019 - Python