Real_Estate_Prediction_Model

This repository contains a prediction model that can be used to accurately predict the sale price of houses given various predictor variables. Various regression models were tested after studying different factors that affect housing prices in the real estate industry. The models used in this analysis are multiple linear regression, quantile regression, ridge regression, lasso regression, and elastic net regression.

Crop-Disease-Detection

The project proposes a deep leaning based approach for use of image recognition on crops leaf disease detection.