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Python Data Science & AI Foundation

This repository tracks my progression and technical execution in Python, transitioning from a strong C++ foundation into Data Science and Machine Learning.

Objectives

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.

Technologies Used

Python 3
Google Colab (Jupyter Notebooks)
Libraries: Pandas, NumPy (Upcoming: Scikit-Learn)