Machine Learning Algorithms for Data Scientists

Hey there, fellow data enthusiasts! 👋

You know what's funny? Everyone talks about fancy deep learning models and state-of-the-art transformers, but nobody mentions the real MVPs - the algorithms that help us get our data ready for those models in the first place! Today, let's dive into the unsung heroes of data science that make our lives easier.

Trust me, after spending years in the trenches of data science, I've learned that the real magic happens way before you throw your data into that shiny neural network. Let me share some game-changing algorithm categories that every data scientist should have in their toolbox.

1. Sampling Algorithms - Your Best Friends When Data Gets Too Big

Picture this: you've got a massive dataset that makes your laptop fan sound like it's about to take off. What do you do? Enter sampling algorithms! Let me break down three lifesavers:

• Simple Random Sampling: Think of it as a lottery where every data point has an equal chance of being picked. Clean, simple, and…