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Agglomerative_Hierarchical_Clustering.ipynb
Agglomerative_Hierarchical_Clustering.ipynb
 
 
Classification_metrics_of_Logistic_Regression.ipynb
Classification_metrics_of_Logistic_Regression.ipynb
 
 
Classification_metrics_of_Logistic_Regression_(Accuracy).ipynb
Classification_metrics_of_Logistic_Regression_(Accuracy).ipynb
 
 
Decision_Tree.ipynb
Decision_Tree.ipynb
 
 
Elastic_Net_Regression.ipynb
Elastic_Net_Regression.ipynb
 
 
GradientBoosting_Regression.ipynb
GradientBoosting_Regression.ipynb
 
 
Gradient_Boosting_Classifier.ipynb
Gradient_Boosting_Classifier.ipynb
 
 
Gradient_Boosting_using_library.ipynb
Gradient_Boosting_using_library.ipynb
 
 
K_Means_Clustering.ipynb
K_Means_Clustering.ipynb
 
 
Lasso_Regression.ipynb
Lasso_Regression.ipynb
 
 
Linear_Regression_using_Batch_Gradient_Descent.ipynb
Linear_Regression_using_Batch_Gradient_Descent.ipynb
 
 
Linear_Regression_using_Mini_Batch_Gradient_Descent.ipynb
Linear_Regression_using_Mini_Batch_Gradient_Descent.ipynb
 
 
Linear_Regression_using_Stochastic_Gradient_Descent.ipynb
Linear_Regression_using_Stochastic_Gradient_Descent.ipynb
 
 
Linear_regression_using_Gradient_Descent_from_scratch.ipynb
Linear_regression_using_Gradient_Descent_from_scratch.ipynb
 
 
Logistic_Regression.ipynb
Logistic_Regression.ipynb
 
 
Logistic_Regression_using_Gradient_Descent.ipynb
Logistic_Regression_using_Gradient_Descent.ipynb
 
 
Logistic_Regression_using_Perceptron_Trick.ipynb
Logistic_Regression_using_Perceptron_Trick.ipynb
 
 
Multiple_Linear_Regression_From_Scratch.ipynb
Multiple_Linear_Regression_From_Scratch.ipynb
 
 
Polynomial_featues_in_Logistic_Regression.ipynb
Polynomial_featues_in_Logistic_Regression.ipynb
 
 
README.md
README.md
 
 
Random_Forest.ipynb
Random_Forest.ipynb
 
 
Regression_Tree.ipynb
Regression_Tree.ipynb
 
 
Ridge_Regression_from_scratch.ipynb
Ridge_Regression_from_scratch.ipynb
 
 
Ridge_Regression_from_scratch_with_m_and_b.ipynb
Ridge_Regression_from_scratch_with_m_and_b.ipynb
 
 
Ridge_Regression_using_Gradient_Descent.ipynb
Ridge_Regression_using_Gradient_Descent.ipynb
 
 
Ridge_Regularization.ipynb
Ridge_Regularization.ipynb
 
 
Simple_Linear_regression_From_Scratch.ipynb
Simple_Linear_regression_From_Scratch.ipynb
 
 
Softmax_Regression.ipynb
Softmax_Regression.ipynb
 
 
Stacking_and_Blending.ipynb
Stacking_and_Blending.ipynb
 
 
Support_Vector_Machines.ipynb
Support_Vector_Machines.ipynb
 
 
Voting Classifier.ipynb
Voting Classifier.ipynb
 
 
Voting Regression.ipynb
Voting Regression.ipynb
 
 
XG_Boosting_Classifier.ipynb
XG_Boosting_Classifier.ipynb
 
 
heart.csv
heart.csv
 
 
hierarchical-clustering-with-python-and-scikit-learn-shopping-data.csv
hierarchical-clustering-with-python-and-scikit-learn-shopping-data.csv
 
 
k-nearest neighbor from scratch.ipynb
k-nearest neighbor from scratch.ipynb
 
 
placement.csv
placement.csv
 
 
student_clustering.csv
student_clustering.csv
 
 
ushape.csv
ushape.csv
 
 

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Machine-Learning-Algortihms

Machine Learning Algortihms from scratch using scikit-learn. Fine tune them with gradient descent and regularization. Create and used datasets from scikit learn and kaggle.

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Machine learning algorithms

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supervised-machine-learning unsupervised-machine-learning

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