GitHub - kkaran0908/Scratch-Implementation-of-Machine-Learning-Algorithms-using-Python: Implemented all the major machine learning algorithms from scratch using python. Algorithm involve Logistic Regression, SVM, Naive Bayes, K-NN, Decision Tree, Random Forest, Neural Network, Optimization Technique, Lasso and Ridge Regression

Scratch-Implementation-of-Machine-Learning-Algorithms-using-Python

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
data_performance_metrix		data_performance_metrix
Decision Tree.pdf		Decision Tree.pdf
Decision_Tree.ipynb		Decision_Tree.ipynb
Ensemble Methods.pdf		Ensemble Methods.pdf
KNN.ipynb		KNN.ipynb
Lasso_Ridge_coordinate_descent.ipynb		Lasso_Ridge_coordinate_descent.ipynb
Linear Regression.pdf		Linear Regression.pdf
Linear_Regression+Optimization.ipynb		Linear_Regression+Optimization.ipynb
Logistic_Regression+Neural_Networks.ipynb		Logistic_Regression+Neural_Networks.ipynb
Naive_Bayes.ipynb		Naive_Bayes.ipynb
Optimization_Technique.ipynb		Optimization_Technique.ipynb
Performance_Metrics_For_Classification+Regression.ipynb		Performance_Metrics_For_Classification+Regression.ipynb
Performance_Metrics_Implementation_for_Classification.ipynb		Performance_Metrics_Implementation_for_Classification.ipynb
README.md		README.md
Scratch Implementation of TF-IDF.ipynb		Scratch Implementation of TF-IDF.ipynb
Support_Vector_Machine.ipynb		Support_Vector_Machine.ipynb
cleaned_strings		cleaned_strings