Kaggle's house prices competition
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Updated
Sep 27, 2018 - Makefile
Kaggle's house prices competition
Complete algorithm that I developed for the Kaggle competition to predict the price of houses using regression methods with machine learning.
Feature engineering, selection and XGBoost modeling for the Kaggle House Prices Regression competition.
All the experiments I did for learning ML/DL
Implementation code for kaggle house price prediction challenge
Housing price prediction
Project for Fundamentals of Data Science. Forked from https://github.com/luigiberducci/FDS-Project-HousePrices
From the Learn Machine Learning series
A curated list of House Prices: Advanced Regression Techniques. Predict sales prices and practice feature engineering, RFs, and gradient boosting
This notebook is about data visualization, pre-processing the data and selecting regression model out of different regression model based on the accuracy given on validation data.
This repo. contains my various approaches towards the problem : https://www.kaggle.com/c/house-prices-advanced-regression-techniques
Kaggle Exercises and Competitions
One of the kaggle competitions
House Prices: Advanced Regression Techniques Predict sales prices and practice feature engineering, RFs, and gradient boosting
Machine Learning and Data Science Projects
Jupyter notebooks on the housing prices prediction dataset from Kaggle
Solutions to standard problems on Kaggle
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