House-Prices-Advanced-Regression-Techniques

📌Objective

The objective of the project is to perform advance regression techniques to predict the house prices in Boston.

📁 Data Description

train.csv - the training set
test.csv - the test set
data_description.txt - full description of each column, originally prepared by Dean De Cock but lightly edited to match the column names used here
sample_submission.csv - a benchmark submission from a linear regression on year and month of sale, lot square footage, and number of bedrooms

🔑Prerequisites

All the required libraries are included in the file requirements.txt

⚠️TechStack/framework used

Machine Learning
LazyPredict
GradientBoostingRegressor
XGBRegressor
LGBMRegressor
StackingRegressor
Lasso
Ridge
Optuna

❤️Owner

Made With ❤️ by Sidharth kumar mohanty

😖Troubleshoot

Any issues??? Feel free to ask.Linkedin

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