Data-Science-Learning-Path

🚀 My Data Science Journey

Welcome to my learning repository! Here I document my progress, projects, and exercises as I transition into Data Science and AI Research.

🎯 Goal

My objective is to build a strong foundation in Python, Mathematics, and Machine Learning to solve real-world problems.

📂 Repository Structure

• 01_NumPy_Analysis: Vectorization, broadcasting, and data manipulation exercises (No Loops allowed!).
• 02_Pandas_EDA: (Coming soon) Data cleaning and exploratory analysis.

🛠 Tech Stack

• Language: Python 3.10+
• Libraries: NumPy, Pandas, Matplotlib, Scikit-Learn.
• Tools: Jupyter Notebooks, Git.

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Author: Lino Garcia Yenso Rodrigo - Systems Engineering Student @ UNFV