Project using multiple linear regression to model prices of houses in Ames, IA.
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Mar 5, 2020 - R
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ames-housing-dataset
Here are 19 public repositories matching this topic...
Ames Housing Price Predictor is an ML project focused on predicting housing prices in Ames, Iowa. Development spans all stages of the machine learning model lifecycle, from data exploration and cleansing, through feature engineering and model selection, to deploying a working API using FastAPI, Docker, and GCP.
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Jun 2, 2025 - Jupyter Notebook
This is a house price prediction study which utilized Exploratory Data Analysis, Dealing with Missing Values, Linear Regression with LASSO and Ridge regularization to predict house prices in the Ames Housing Data Set
linear-regression exploratory-data-analysis ridge-regression lasso-regression correlation-coefficient rsquare-values ames-housing-dataset heatmap-visualization
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Jan 24, 2023 - Jupyter Notebook
MSDS 410 Data Modeling for Supervised Learning (R)
linear-regression eda logistic-regression poisson-distribution negative-binomial-regression hurdle wine-dataset ames-housing-dataset
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Nov 16, 2020 - HTML
my attempt to train a model on Ames housing dataset with scikit-learn and XGBoost .
machine-learning ai machine-learning-algorithms kaggle kaggle-competition machinelearning kaggle-house-prices ames-housing ames-housing-dataset
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Jun 1, 2024 - Jupyter Notebook
Prediction of house sale prices based on the Ames Housing dataset
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Dec 12, 2020 - Jupyter Notebook
This repository contains my assignments and projects related to deep learning, including implementations of fundamental concepts such as Linear Regression, Gradient Descent, Multi-Layer Perceptron (MLP), and more. Each section includes code, explanations, and relevant documentation. The goal of this repository is to showcase my learning journey.
visualization data-science deep-neural-networks deep-learning linear-regression exploratory-data-analysis learning-python logistic-regression mlp gradient-descent mlp-classifier iris-classification cat-notcat-classification ames-housing-dataset
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Dec 23, 2024 - Jupyter Notebook
🏡 Built linear regression model to predict house prices in Ames dataset with applied tools such as scikit-learn pipeline
python machine-learning pipeline linear-regression house-price-prediction multiple-linear-regression sklearn-pipeline ames-housing-dataset
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Mar 29, 2023 - Python
Data-driven analysis of the Ames Housing Dataset, combining advanced feature engineering and Stochastic Gradient Descent (SGD) regression model tuning. This repository showcases predictive modeling, hyperparameter optimization, and actionable insights for real estate analytics.
python machine-learning data-visualization sgd feature-engineering predictive-modeling regression-analysis ames-housing-dataset real-estate-analytics
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Dec 12, 2024 - Jupyter Notebook
Predicting sales prices for Ames housing dataset
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Nov 10, 2019 - Jupyter Notebook
This repo contains my attempts at developing machine learning algorithms in python to predict the house prices in Ames, Iowa as part of the following Kaggle competition: https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques
python data-science machine-learning numpy scikit-learn machine-learning-algorithms regression pandas kaggle ames-housing-dataset
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Feb 21, 2023 - Jupyter Notebook
Ames dataset: House Price prediction for kaggle competition (advanced regression, supervised ML)
python data-science sklearn kaggle scipy housing-prices feature-engineering supervised-machine-learning advanced-algorithms k-fold-cross-validation ames-housing-dataset price-prediction-model dean-de-cock
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May 4, 2023 - Jupyter Notebook
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Jun 14, 2021 - Jupyter Notebook
Predicting house prices using advanced regression techniques
random-forest linear-regression kaggle-competition xgboost kaggle-house-prices house-price-prediction advanced-regression-techniques ames-housing-dataset
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Aug 30, 2020 - Jupyter Notebook
A collection of small data science projects to predict house pricing for two different datasets
modeling linear-regression exploratory-data-analysis pandas pyspark boston-housing-dataset pyspark-mllib ames-housing-dataset pyspark-exper
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Jun 18, 2021 - Jupyter Notebook
Jupyter Notebook applying statistical theory to housing price prediction, using techniques like the Kolmogorov–Smirnov test, Box-Cox transformation, Pearson/Spearman correlations, chi-square tests, and feature importance, with analysis of prediction accuracy across price ranges.
analysis linear-regression statistical-tests theory transformation statistical chi-square-test pearson-correlation box-cox ames-housing-dataset spearman-correlation
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Mar 31, 2025 - Jupyter Notebook
A machine learning project that aims to predict the prices of homes listed in the Ames Housing Dataset based on their various features & attributes (via Kaggle's Competition)
python linear-regression machine-learning-algorithms vscode jupyter-notebook kaggle-house-prices ames-housing-dataset
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May 3, 2025 - Jupyter Notebook
Prediction of Sales Prices of Houses
data-science jupyter-notebook data-visualization data-engineering data-analytics xgboost data-analysis prediction-algorithm elasticnet ames-housing xgboost-regression loocv ames-housing-dataset elastic-net-regression ames-dataset
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Mar 2, 2024 - Jupyter Notebook
In depth EDA on Ames Housing dataset from Kaggle and Regression model to predict house prices.
sklearn regression eda prediction seaborn kaggle kaggle-competition kaggle-house-prices house-prices ames-housing-dataset
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Apr 2, 2021 - Jupyter Notebook
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