Data_Science

Data Science Projects

Welcome to my Data Science repository, which contains a variety of projects focusing on key concepts in data science, machine learning, and statistics. These projects demonstrate practical applications of different tools and techniques in Python and Jupyter Notebooks.

Projects

1. Cryptocurrencies Price Prediction

• Using NNs to predict cryptocurrency prices using historical data.

2. Kobe Bryant Shot Selection Analysis

• Analyzing Kobe Bryant’s shot selection using basketball game data to uncover insights and building ensemble ML model to do some magic.

3. Essential Math for Data Science

• A collection of mathematical foundations important for data science, covering key topics like linear algebra and calculus.

4. Essential Python for Data Science

• A beginner-friendly guide to Python programming focused on key concepts for data science.

5. Essential Pandas for Data Science

• A tutorial on the Pandas library, exploring data manipulation and analysis with Python.

6. Essential Matplotlib for Data Science

• A guide to visualizing data using Matplotlib, focusing on graphs, plots, and charts for analysis.

Feel free to explore the projects and contribute!