Machine Learning With Numpy

A set of Notebooks to write simple and efficient Machine Learning algorithms using Numpy.

⭐ Linear Regression
⭐ Logistic Regression
⭐ KNN
⭐ KMeans
⭐ Naive Bayes
⭐ SVM
⭐ Decision Tree
⭐ Adaboost
⭐ PCA
⭐ LDA

Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
Adaboost Classifier.ipynb		Adaboost Classifier.ipynb
Decision Tree.ipynb		Decision Tree.ipynb
KMeans Clustering.ipynb		KMeans Clustering.ipynb
KNN.ipynb		KNN.ipynb
Linear Discriminant Analysis.ipynb		Linear Discriminant Analysis.ipynb
Linear Regression.ipynb		Linear Regression.ipynb
Logistic Regression.ipynb		Logistic Regression.ipynb
NaiveBayes.ipynb		NaiveBayes.ipynb
Principal Component Analysis.ipynb		Principal Component Analysis.ipynb
README.md		README.md
Support Vector Machine.ipynb		Support Vector Machine.ipynb

Provide feedback