1️⃣ FREE mini-courses on Python, DS and ML
What's inside:
• Completely and highly practical.
• Python, Pandas, visualization
• Basics of machine learning and feature engineering
• Data preparation and working with models
Practice without unnecessary theory: you learn and immediately apply.
👉 Course
2️⃣ A huge collection of the 17 best GitHub repositories for learning Python
☞ 30-Days-Of-Python
— covers python basics
☞ Python Basics — simple-clear Python basics for beginners
☞ Learn Python — guide with examples and code
☞ Python Guide — best practices, tools, advanced topics
☞ Learn Python 3 — An easy-to-understand guide to Python 3 with practice
☞ Python Programming Exercises — 100+ Python problems
☞ Coding Problems — algorithmic problems, perfect for interview prep
☞ Project-Based-Learning — learn Python through real projects
☞ Projects — ideas for practical skill improvement
☞ 100-Days-Of-ML-Code — a step-by-step guide to ML in Python
☞ TheAlgorithms/Python — a huge collection of algorithms in Python
☞ Amazing-Python-Scripts — useful scripts from automation to advanced utilities
☞ Geekcomputers/Python — a collection of practical scripts: networking, files, automation
☞ Materials — code, exercises, projects from Real Python
☞ Awesome Python — a top list of best frameworks and libraries
☞ 30-Seconds-of-Python — short snippets for quick solutions
☞ Python Reference — life hacks, tutorials, and useful scripts
3️⃣ Harvard Machine Learning Course
Iconic CS 249 track has been turned into an interactive textbook - arguably one of best starting points for engineers who want to build real ML systems, not just play with models.
• Complete ML foundation: explains fundamentals from scratch, only Python knowledge is required
• System design and data engineering
• Dataset preparation, MLOps, monitoring
• AI deployment in IoT and production
Its a practical course: not about formulas, but about how to implement ML so that it brings business profit.
If you want to understand how models operate in production - an ideal start.
👉 Course
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🤖 Data Science, ML & Big Data with @DataXplore