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It is a classification Problem where we are supposed to predict whether a loan would be approved or not.
Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Numpy, Pandas, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Implemented Algorithms using Scikit-Learn to increase the R2 score.
Minimal implementation of Adaboost classifier using weighted decision stumps without sklearn.
Implementation of different types of machine learning algorithm and there performance comparison on a same dataset