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

An advanced regression model to predict house prices

House Price prediction using advanced regression - Machine Learning

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.

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