Adaboost Classifier and Regressor implementation from scratch

[spursbyte]

Adaboost is an important boosting algo in machine learning as it helps to enhance the performance of decision trees over classification and regression problems. It will be really helpful if it implemented and stored in this repo.

Resources :-

https://medium.com/analytics-vidhya/implementing-an-adaboost-classifier-from-scratch-e30ef86e9f1b
https://www.kdnuggets.com/2020/12/implementing-adaboost-algorithm-from-scratch.html
https://towardsdatascience.com/adaboost-from-scratch-37a936da3d50
https://medium.com/analytics-vidhya/implementing-an-adaboost-classifier-from-scratch-e30ef86e9f1b
https://geoffruddock.com/adaboost-from-scratch-in-python/

Note :- Although most of the Logics would be same, but for Regressor Configuration, somethings can vary accordingly.

[Siddhant-K-code]

I wanted to contribute this, where to add this Algorithm