This repository contains my hands-on practice while learning Pandas to strengthen my data cleaning, manipulation, and analysis skills while building a foundation for machine learning.
Instead of just watching tutorials, I solved examples, experimented with datasets, and wrote code for each concept to build a strong foundation.
- 📌 Pandas Series
- 📌 DataFrames
- 📌 Handling Missing Data
- 📌 Merging, Joining & Concatenation
- 📌 GroupBy & Aggregation
- 📌 Pivot Tables
- 📌 DataFrame Operations
- 📌 Feature Extraction
- 📌 Practice on real datasets
- Countries Dataset
- Anime Dataset
- Python
- Pandas
- NumPy
- colab
I'll continue updating this repository as I learn more about Pandas.
⭐ If you have any suggestions or better approaches, feel free to share them!