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My Python learning journey, including programming basics, data analysis and machine learning practice.

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Learning Python 🐍

This repository records my Python learning journey as a Data Science student. It is a structured place to practise Python fundamentals before moving into data analysis, visualisation, and machine learning.

Contents

01 Python Basics

Fundamental programming concepts:

  • Printing output
  • Variables
  • Data types
  • Conditions
  • Loops
  • Functions

Current files:

  • hello.py
  • variables.py
  • conditions.py
  • loops.py
  • functions.py

02 NumPy and Pandas

Learning:

  • NumPy
  • Pandas

Status: planned.

03 Data Visualization

Learning:

  • Matplotlib
  • Data exploration

Status: planned.

04 Machine Learning

Learning:

  • Scikit-learn
  • Model training
  • Evaluation

Status: planned.

How to Run

Run any beginner exercise from the repository root:

python3 01-python-basics/variables.py

Replace variables.py with another file name to practise a different concept.

Goal

Build strong Python foundations for Data Science and Machine Learning projects.

About

My Python learning journey, including programming basics, data analysis and machine learning practice.

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