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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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 .
In this repo I'll use different types of datasets to explore and implement various Exploratory Data Analysis (EDA) approaches.
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
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.
🏠💰 Python ML pipeline for Ames Housing price prediction using Scikit-learn. Includes EDA, preprocessing, and regression model evaluation.
Python Visualization of the Ames Housing Dataset
Prediction of Sales Prices of Houses
Kaggle competition to predict housing prices in Ames, Iowa.
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.
Predict the Sale Price of the houses in Amex, Iowa.
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.
Predicting the sale price of houses in Ames, IA using linear regression
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