GitHub - aayush301/machine-learning-basics: A list of python notebooks for Machine learning basics- regression and classification.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
data		data
.gitattributes		.gitattributes
01-linear-regression.ipynb		01-linear-regression.ipynb
02-multiple-regression.ipynb		02-multiple-regression.ipynb
03-gradient-descent.ipynb		03-gradient-descent.ipynb
04-categorical-variables.ipynb		04-categorical-variables.ipynb
05-logistic-regression-binary-classification.ipynb		05-logistic-regression-binary-classification.ipynb
06-logistic-regression-multiclass-classification.ipynb		06-logistic-regression-multiclass-classification.ipynb
07-decision-tree.ipynb		07-decision-tree.ipynb
08-support-vector-machine.ipynb		08-support-vector-machine.ipynb
09-KNN.ipynb		09-KNN.ipynb
10-random-forest.ipynb		10-random-forest.ipynb
11-naive-bayes-classifier.ipynb		11-naive-bayes-classifier.ipynb
12-k-means-clustering.ipynb		12-k-means-clustering.ipynb

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