This repository tracks my progression and technical execution in Python, transitioning from a strong C++ foundation into Data Science and Machine Learning.
- Mastering Python syntax and dynamic data structures.
- Implementing data cleaning and manipulation pipelines using Pandas and NumPy.
- Storing assignments and practical code from IBM and Stanford AI specializations.
- Python 3
- Google Colab (Jupyter Notebooks)
- Libraries: Pandas, NumPy (Upcoming: Scikit-Learn)