Predicting sales prices for Ames housing dataset
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Updated
Nov 10, 2019 - Jupyter Notebook
Predicting sales prices for Ames housing dataset
Project using multiple linear regression to model prices of houses in Ames, IA.
Predicting house prices using advanced regression techniques
MSDS 410 Data Modeling for Supervised Learning (R)
Prediction of house sale prices based on the Ames Housing dataset
In depth EDA on Ames Housing dataset from Kaggle and Regression model to predict house prices.
A collection of small data science projects to predict house pricing for two different datasets
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
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
🏡 Built linear regression model to predict house prices in Ames dataset with applied tools such as scikit-learn pipeline
Ames dataset: House Price prediction for kaggle competition (advanced regression, supervised ML)
Prediction of Sales Prices of Houses
my attempt to train a model on Ames housing dataset.
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