SameerTirumala's repositories
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Random-Forest-and-XGBoost-Regressor-Project
This project aims to explore concepts that I have only read about so far, like principal component analysis. Most of these tools come from the sklearn library, so I have the benefit of exploring this useful library. We will be using the data set from the Kaggle housing competition to build a regressor model that predicts the sale price of houses.
Simple-and-Multivariate-Linear-Regression-and-K-Means-Clustering-Project
This project aims to test my data manipulation, data visualization, and basic modelling skills to build linear regression and k-means clustering models.
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