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Instagram = / khushalshambu Please find the free resources below - 1. Python Begin with fundamentals: datatypes, functions, OOP, and small projects to build confidence. Resource: FreeCodeCamp Python Playlist • Python for Beginners – Full Course [Progra... 2. Git Understand the basics of version control so you can work like real developers do: commits, branches, and pushes. Resource: Git Zero to Hero • Git Tutorial for Beginners: Learn Git in 1... 3. DSA Build strong foundations in data structures and algorithms. This helps whether you choose ML or regular Python development. Resource: Lucid Programming / lucidprogramming 4. Mathematics & Statistics Focus on the essentials: probability, linear algebra, calculus, and key statistical concepts. Resource: Khan Academy https://www.khanacademy.org/math/get-... 5. SQL Learn how to access, organize, and manipulate data with queries, joins, primary keys, foreign keys, and basic functions. Resource: W3Schools SQL https://www.w3schools.com/sql/sql_int... 6. Data Manipulation This is where real ML workflows begin. Practice cleaning, processing, and visualizing data using NumPy, Pandas, and Matplotlib. Resource: Corey Schafer / @coreyms 7. Core ML & AI Learn how machine learning actually works: regression, classification, and essential algorithms. Resource: TensorFlow Official Tutorials https://www.tensorflow.org/tutorials 8. Advanced ML / Deep Learning Go beyond basics and explore NLP, computer vision, and ensemble methods to stand out from the competition. Resource: ML & DL Advanced Playlist / @firstprinciplesofcomputerv3258 9. Deployment Learn how to package and ship your models using simple Docker concepts. Resource: Docker for Beginners • Docker Tutorial for Beginners [FULL COURSE...