[Done] Master version: developed the stacked regression (score 0.11, top 5%) based on (xgboost, sklearn). Branch v1.0: developed linear regression (score 0.45) based on Tensorflow
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Updated
Dec 3, 2017 - Python
[Done] Master version: developed the stacked regression (score 0.11, top 5%) based on (xgboost, sklearn). Branch v1.0: developed linear regression (score 0.45) based on Tensorflow
Deep Learning using Tensorflow for the "House Prices: Advanced Regression Techniques" Kaggle competition.
Predict sales prices and practice feature engineering, RFs, and gradient boosting
Kaggle's data science competition for students about predicting final prices of residential homes in Iowa.
Predicting house prices in Ames, Iowa
Complete algorithm that I developed for the Kaggle competition to predict the price of houses using regression methods with machine learning.
Getting started competitions on kaggle.
Solutions to standard problems on Kaggle
Machine Learning to predict the house prices. (Kaggle Regression Problem)
exploratory data analysis and explaintion of kaggle advanced housing
Codes for Kaggle Competitions
A Kaggle's competition - The main task is to predict the prices of the houses.
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