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Articles tagged with #data-science
Welcome to Part 8.1 - Deep Learning! If you're new to this blog, I strongly advise you to read the previous posts because this one is quite advanced. Thank you! Deep Learning is the most exciting and powerful branch of Machine Learning. Deep Learning...
Welcome to Machine Learning! Support vector regression was created in the 90s by Vladimir Vapnik and his team at Bell Labs, which was known as AT&T Bell Labs back then. But for now, we'll focus just on linear regression. Let's get started! SVR Intuit...
Welcome back to Machine Learning! Today we’ll talk about Polynomial Regression Polynomial Regression Intuition If you look carefully, polynomial regression is very similar to the multiple linear regression. But, instead of different variable, x1 is d...
Hey there! Welcome to Chapter 1 on Data Preprocessing! Before getting into Machine Learning, let me tell you what you'll need: Educational requirement: Just some high school math, DSA (in python) (Probability and statistics will help you a lot. I ...
Welcome to the 2nd week of learning Probability & Statistics for Machine Learning & Data Science Lesson 1 - Describing Distributions Expected Value Expected value is a way of representing mean value. Question : You throw a fair coin. If it lands head...
Beginner's Guide to Probability and Distributions
