💡[FEATURE]: Housing Prices EDA and Prediction of INDIA state wise

[PRIYANSHU2026]

New Project: Housing Prices EDA and Prediction

Project Overview: We are starting a new project to analyze and predict housing prices using the "Housing Prices EDA and Prediction"This project will involve exploratory data analysis (EDA) and the development of predictive models to forecast housing prices.

Objectives:

1. Exploratory Data Analysis (EDA): Perform EDA to understand the dataset and identify key features.
2. Data Preprocessing: Clean and preprocess the data for model building.
3. Predictive Modeling: Develop and evaluate models to predict housing prices.
4. Visualizations: Create visualizations to illustrate the data and model predictions.
5. Documentation: Document the entire process, including code, findings, and conclusions.

Tasks:

• [x] Review the Kaggle notebook and understand its methodology.
• [ ] Perform EDA to explore the dataset and extract insights.
• [x] Clean and preprocess the data for modeling.
• [x] Develop predictive models using various machine learning algorithms.
• [ ] Evaluate the performance of the models and fine-tune as necessary.
• [ ] Create visualizations to support the analysis and model results.
• [ ] Document the process and results in a comprehensive report.

Tech Stack:

• Python
• Pandas
• Matplotlib / Seaborn
• Scikit-learn
• Jupyter Notebook

Additional Notes:

• Ensure all code is well-documented and follows best practices.
• Regularly commit progress to the repository.

[Shouryabhardwajj]

I am interested in this issue. Please assign me this