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 with scikit-learn and XGBoost .

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

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.

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

Prediction of Sales Prices of Houses

Linear Regression model using PyTorch to predict Ames Housing prices based on square footage, bedrooms, and bathrooms. Features proper normalization, early stopping, and comprehensive evaluation.

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.

Wyatt is an open-source house pricing AI model.

Kaggle competition to predict housing prices in Ames, Iowa.

End-to-end Machine Learning regression project for predicting house prices using the Ames Housing dataset. Includes complete data preprocessing, EDA, feature engineering, model training (Linear Regression & XGBoost), hyperparameter tuning, evaluation, and a Streamlit web app for single & batch predictions.

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

Python Visualization of the Ames Housing Dataset

Plain-English property descriptions to grounded price estimates. LLM extracts features into Pydantic-validated JSON, scikit-learn Random Forest predicts (R^2 0.90 on Ames Housing), second LLM call grounds the prediction against training-set statistics.

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