Welcome to real estate prediction project! This project aims to build a model that predict real estate price in Banglore, India. This project leverages data analysis and regression tehnique to provide valuable insights.

1. Exploratory Data Analysis (EDA)
2. Data Preprocessing
3. Regression Models (I used Linear Regression, Decision Tree Regressor and Lasso Algorithm).
4. Grid Search CV (Cross Validation)
5. Model Evaluation and Inference
6. Web Application (You can check This Repo to see the implementation)

At the beginning, you can clone this repository and you have to make sure that your machine has been installed with Python (3.11.4) and PIP (23.2.1). It is recommended for using virtual environment (venv). Inside the project you can do

python -m venv env

After that, make sure your env is active. Command bellow i used in windows terminal (cmd) for activing my environment

env\Scripts\activate

If your env is active, then you can install all depedencies from the requirements.txt

pip install -r requirements.txt

to use the project, you can execute the notebook file in the notebook folder.

jupyter notebook #run notebook