Machine Learning Implementation from Scratch

In this repo I wrote machine learning algorithms step by step with python. With detailed explanation.

Name		Name	Last commit message	Last commit date
Latest commit History 41 Commits
bayesian_optimization		bayesian_optimization
data		data
gradient_boosting		gradient_boosting
images		images
medoid_radius		medoid_radius
page_rank		page_rank
.gitignore		.gitignore
Gradiant_Boosting_Classification.ipynb		Gradiant_Boosting_Classification.ipynb
Gradiant_Boosting_Regression.ipynb		Gradiant_Boosting_Regression.ipynb
README.md		README.md
XGB_Regression.ipynb		XGB_Regression.ipynb
bayesian_optimization.ipynb		bayesian_optimization.ipynb
catboost_classification.ipynb		catboost_classification.ipynb
cblof.ipynb		cblof.ipynb
dbscan.ipynb		dbscan.ipynb
decision_tree.ipynb		decision_tree.ipynb
dnn_backpropagation.ipynb		dnn_backpropagation.ipynb
gaussian_mixture_model.ipynb		gaussian_mixture_model.ipynb
isolation_forest.ipynb		isolation_forest.ipynb
kmeans.ipynb		kmeans.ipynb
knn_classifier.ipynb		knn_classifier.ipynb
lgb_classification.ipynb		lgb_classification.ipynb
lightgbm_regression.ipynb		lightgbm_regression.ipynb
linear_regression.ipynb		linear_regression.ipynb
logistic_regression.ipynb		logistic_regression.ipynb
medoid_radius.ipynb		medoid_radius.ipynb
optimizers.ipynb		optimizers.ipynb
page_rank.ipynb		page_rank.ipynb
quick_find_merge_groups_with_common_elements.ipynb		quick_find_merge_groups_with_common_elements.ipynb
ransac.ipynb		ransac.ipynb
ridge.ipynb		ridge.ipynb
start.bat		start.bat
xgb_classification.ipynb		xgb_classification.ipynb

Provide feedback