Project using multiple linear regression to model prices of houses in Ames, IA.
-
Updated
Mar 5, 2020 - R
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 .
Predictive analytics dashboard for exploring housing data and estimating property prices with Python, Streamlit and machine learning.
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.
Production-style scikit-learn pipelines: Ames Housing with Optuna-tuned boosting; calorie-expenditure regression with a custom RMSLE scorer
Advanced regression analysis to predict housing prices in Ames, Iowa, using Stacking Ensembles (Ridge, XGBoost, LightGBM). / Análisis de regresión avanzada para predecir los precios de la vivienda en Ames, Iowa, utilizando Ensembles de Stacking (Ridge, XGBoost, LightGBM).
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.
An advanced machine learning regression pipeline on the Ames Housing dataset featuring non-linear target scaling, systematic preprocessing, multi-model benchmarking, and embedded vs. filter feature selection analysis.
Prediction of Sales Prices of Houses
Using Lasso regression to predict housing prices in Ames, Iowa.
Reproducible leakage-safe Ames Housing regression case study
Predicting house prices using Linear and Polynomial Regression. This project demonstrates the significant impact of data preprocessing (Outlier removal, SMOTE, Encoding) on model accuracy.
End-to-end House Price Prediction using the Ames Housing Dataset with Feature Engineering, Lasso Regression, and Model Evaluation.
Build a model with machine learning to predict housing prices in Ames, Iowa. Top 11% in the Kaggle Housing Prices Competition.
Add a description, image, and links to the ames-housing topic page so that developers can more easily learn about it.
To associate your repository with the ames-housing topic, visit your repo's landing page and select "manage topics."