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Intuitive Tutorials

Dear visitor,
Welcome to intuitive tutorials. This website is an attempt to deliver insightful explanations of ideas by building things from scratch and thinking from first principles. I hope you will have some takeaway ideas from here.

Recent Posts

  • Pandas for Machine Learning: DataFrames, Merging, GroupBy, and EDA Basics
  • NumPy for Machine Learning: Arrays, Broadcasting, and Vectorized Operations Explained Simply
  • Calculus for Machine Learning: Derivatives, Gradients, and the Chain Rule Explained Simply
  • Probability for Machine Learning: How Bayes’ Theorem Helps Models Update Their Guess
  • Mean, Variance, and Distribution: The Statistics Every ML Model Quietly Uses
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