Project using multiple linear regression to model prices of houses in Ames, IA.

10 very popular data analysis exercises I have practised with jupyter notebook in my spare time, including Iris flowers, Titanic, K means clustering, linnear regression and logistic regression etc.

my attempt to train a model on Ames housing dataset.

Predicting House Prices in Ames,Iowa using advanced regression techniques (penalized regressions)

Competition: https://www.kaggle.com/c/house-prices-advanced-regression-techniques

Final Project for Sta 521 Predictive Modeling at Duke University in 2017 Spring

In this repo I'll use different types of datasets to explore and implement various Exploratory Data Analysis (EDA) approaches.

Code used for the Kaggle competition on the Ames Housing dataset. We use boosting and random forests , and combine models to form a final model. We also create an interactive heat map.

Prediction of Sales Prices of Houses

Python Visualization of the Ames Housing Dataset

Build a model with machine learning to predict housing prices in Ames, Iowa. Top 11% in the Kaggle Housing Prices Competition.

Using Lasso regression to predict housing prices in Ames, Iowa.

Kaggle competition to predict housing prices in Ames, Iowa.

Predict the Sale Price of the houses in Amex, Iowa.

Predicting the sale price of houses in Ames, IA using linear regression

https://www.kaggle.com/c/house-prices-advanced-regression-techniques#evaluation

This repository contains an ML workflow to predict house prices in Ames, Iowa. This project work is carried out under the Machine Learning module of the GeoDSc track of the Copernicus Master in Digital Earth.