Some basic AI/ML/DL algorithms implemented from scratch for understanding purposes. Here I will be using only numpy and some basic libraries only.

1. Basic Deep Neural Network using Gradient Descent for Backpropogation
2. Linear Regression
3. Logistic Regression
4. Logistic Regression using Gradient Descent
5. Linear Regression using Gradient Descent
6. Decision Tree Classifier
7. Decision Tree Regressor
8. Support Vector Machines
9. Naive Bayes
10. K-Nearest Neighbors Classifier/Regressor
11. K-means
12. Agglomerative Hierachical Clustering
13. Random Forest Classifier/Regressor
14. Density based spatial clustering for application with Noise
15. Gradient Boosting Classifier/Regressor
16. Meanshift Clustering