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

• UpdatedMar 5, 2020
• R

• UpdatedDec 26, 2016
• Python

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.

• UpdatedJan 21, 2023
• Jupyter Notebook

my attempt to train a model on Ames housing dataset with scikit-learn and XGBoost .

• UpdatedJun 1, 2024
• Jupyter Notebook

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

• UpdatedApr 19, 2021
• Jupyter Notebook

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

• UpdatedJan 17, 2019
• Jupyter Notebook

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

• UpdatedMay 6, 2017

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

• UpdatedAug 15, 2023
• Jupyter Notebook

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.

• UpdatedDec 29, 2020
• R

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

• UpdatedAug 29, 2018
• Jupyter Notebook

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

• UpdatedDec 30, 2020
• Jupyter Notebook

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

• UpdatedOct 18, 2020
• Python

Python Visualization of the Ames Housing Dataset

• UpdatedApr 3, 2018
• Python

Prediction of Sales Prices of Houses

• UpdatedMar 2, 2024
• Jupyter Notebook

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

• UpdatedJun 4, 2019
• Jupyter Notebook

Kaggle competition to predict housing prices in Ames, Iowa.

• UpdatedOct 2, 2020
• Jupyter Notebook

🏠💰 Python ML pipeline for Ames Housing price prediction using Scikit-learn. Includes EDA, preprocessing, and regression model evaluation.

• UpdatedApr 11, 2025
• Python

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

• UpdatedApr 11, 2018
• Jupyter Notebook

• UpdatedDec 12, 2023
• R

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.

• UpdatedJan 31, 2024
• Jupyter Notebook