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 Mayurji Update README.md Jul 28, 2021 d4e1afe · Jul 28, 2021 History 21 Commits
Adaboost Classifier.ipynb	Adaboost Classifier.ipynb	Added Adaboost Classifier	Jul 7, 2021
Decision Tree.ipynb	Decision Tree.ipynb	Added DecisionTree	Jul 4, 2021
KMeans Clustering.ipynb	KMeans Clustering.ipynb	Added KMeans Clustering	Jun 25, 2021
KNN.ipynb	KNN.ipynb	Added KNN Algorithms	Jun 25, 2021
Linear Discriminant Analysis.ipynb	Linear Discriminant Analysis.ipynb	LDA Added	Jul 28, 2021
Linear Regression.ipynb	Linear Regression.ipynb	Update Linear Regression.ipynb	Jun 26, 2021
Logistic Regression.ipynb	Logistic Regression.ipynb	Added Logistic Regression	Jun 25, 2021
NaiveBayes.ipynb	NaiveBayes.ipynb	Added NaiveBayes	Jun 30, 2021
Principal Component Analysis.ipynb	Principal Component Analysis.ipynb	PCA Added	Jul 25, 2021
README.md	README.md	Update README.md	Jul 28, 2021
Support Vector Machine.ipynb	Support Vector Machine.ipynb	Added SVM	Jul 2, 2021

Provide feedback