This repository contains a collection of mini projects written in Python. These projects are intended for practice and learning purposes and cover a range of topics, including data analysis, machine learning, web development, and more.
The Python Mini Project repository is a personal project aimed at improving coding skills and exploring new concepts in Python programming. Each project is designed to be small and focused, allowing for quick implementation and testing of ideas.
The projects in this repository are designed to be accessible to Python beginners and can serve as a starting point for learning more about different Python libraries and programming concepts.
The repository includes the following directories, each containing one or more mini projects:
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data_analysis: Projects focused on data analysis, including data cleaning, manipulation, and visualization using libraries like Pandas and Matplotlib. -
machine_learning: Projects focused on machine learning concepts, including data preprocessing, model training, and evaluation using libraries like Scikit-learn. -
web_development: Projects focused on web development, including building simple web applications using frameworks like Flask and Django. -
miscellaneous: Projects covering a range of topics not included in the other directories, including file I/O, regular expressions, and more.
To run the projects in this repository, you will need to have Python (version 3.7 or higher) installed on your machine, along with any necessary libraries for each project. These requirements will be listed in a requirements.txt file in each project directory.
To run the projects in this repository, you can clone the repository to your local machine and then navigate to the directory for the project you are interested in. From there, you can run the Python script for that project using the command python <filename>.py.
Each project directory may also contain additional instructions for running the project or setting up any necessary environment variables or configuration files.
This repository is a personal project, but contributions and suggestions are always welcome. If you have an idea for a mini project you would like to see added to the repository, feel free to open an issue or submit a pull request.