This repository contains a collection of data analysis and machine learning projects implemented in Python. Each project focuses on different aspects of data analysis, from customer behavior to real estate predictions.
Analysis of customer call data to extract insights and patterns from customer interactions. This project helps understand customer behavior and call center performance.
Analysis of car price data to understand factors affecting car prices and identify patterns in the automotive market. This project helps in understanding market trends and price determinants.
Analysis of global population data to understand population trends, growth patterns, and demographic changes across different countries and regions.
Machine learning project that predicts house prices based on various features and characteristics. This project demonstrates the application of machine learning in real estate.
All projects require:
- Python 3.x
- Jupyter Notebook
- pandas
- numpy
- matplotlib
- seaborn
Additional requirements are specified in each project's README file.
- Clone this repository
- Navigate to the project folder you're interested in
- Install the required dependencies
- Open the Jupyter notebook
- Follow the instructions in the project-specific README
Each project contains:
- Jupyter notebook with analysis code
- Dataset files
- Project-specific README with detailed instructions
Feel free to explore, modify, and improve these projects. If you find any issues or have suggestions for improvements, please create an issue or submit a pull request.
This project is open source and available for educational and research purposes. # Python-Projects