My solution for the kaggle house price price prediction problem at this link: https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data
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Updated
Jul 5, 2024 - Jupyter Notebook
My solution for the kaggle house price price prediction problem at this link: https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data
All my Kaggle Notebooks that I've published
my attempt to train a model on Ames housing dataset.
Exploring Regression Analysis with Publicly Available Datasets
Repository for a Kaggle competition for Y Data students of 2024 on house prices predictions.
House Prices Prediction and Credit Default Risk Prediction competitions. Advanced decision tree-based regression and classification models are used.
Discover Kaggle competitions code, notebooks, and datasets. Enhance your data skills, learn from real-world challenges, and find inspiration in this learning repository for beginners.
Project on California Housing price prediction.
Prevendo valores de casas baseando em suas características.
An overview of the competitions and links to their respective folders for detailed information and code
One of the kaggle competitions
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.
Regression model on House Price Data with EDA. Secured RMSE Score of ~0.13.
Kaggle Exercises and Competitions
Source code for a kaggle competition called House Prices
A Kaggle's competition - The main task is to predict the prices of the houses.
Data playground for improving machine learning skills using Kaggle datasets. Work in Progress: Listed here are Kaggle competitions I am working on, not necessarily finished.
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