Dive deep into the world of data science with Data Science from Scratch, a podcast inspired by Joel Grus’s book that takes you beyond the surface of pre-built libraries to understand the fundamentals of data science. This series focuses on building core data science tools and algorithms from scratch, empowering you with the knowledge to solve real-world problems using Python.

Each episode covers essential topics, including data visualization, statistical analysis, machine learning algorithms (like k-NN, regression, decision trees, and SVMs), natural language processing, and more. We’ll guide you through Python code examples and break down complex concepts into manageable lessons, helping you build a strong foundation in data science that goes beyond tools and libraries.

Whether you're a beginner eager to explore data science or an experienced professional looking to reinforce your skills, Data Science from Scratch will give you the insights and hands-on experience needed to master the field, one algorithm at a time.