This repository serves as a comprehensive collection of my personal notes, code snippets, and practical examples focused on Statistics and Machine Learning using Python.
As I navigate through concepts and code, I'm curating a collection of notes, code snippets, and practical examples that reflect my journey from a beginner to an adept practitioner in these domains.
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Learning Together: Join me as I explore fundamental statistical concepts and delve into the world of Machine Learning. As I uncover new techniques and methods, I share my insights and discoveries here.
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Hands-on Exploration: Dive into Python-based implementations, from simple statistical analyses to the deployment of complex ML algorithms. Together, we'll understand the theory behind these concepts and see them in action through code.
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Growth Mindset: Embracing the learning curve, I aim to make this repository a reflection of my progress, learning from mistakes, and refining my understanding with each new concept I encounter.
- https://realpython.com/python-statistics/#measures-of-correlation-between-pairs-of-data
- Practical Statistics for Data Scientist