By using feature engineering technique and XGBoost algorithm to predict house price

Notes on statistical learning. Currently contains probability based models, parametric and non-parametric statistical tests.

Predicting house prices using Advanced Linear Regression

A US-based housing company named Surprise Housing has decided to enter the Australian market. The company uses data analytics to purchase houses at a price below their actual values and flip them on at a higher price.

Regression models for housing price prediction

Model the price of houses using available variables so that management can understand market dynamics

Regression Notebooks

With 226 predictor variables we need to predict whether a particular customer will switch to another telecom provider or not. In telecom terminology, this is referred to as churning and not churning, respectively.

An advanced regression model to predict house prices

House Price prediction using advanced regression - Machine Learning

Algorithm wise projects

Build a regularized regression model to understand the most important variables to predict house prices in Australia.

Telecom Churn Prediction

House Price Prediction from Kaggle

Advanced Regression with the linear regression