Machine Learning 101 – Multiple Linear Regression
by You already know of Simple Linear Regression. You also know of Logistic Regression. Now we would discuss Multiple Linear Regression. This is a case where …
Category: Data Science
Machine Learning 101 – What is Probability Density?
By now, you probably understand probability as well as probability theory. You also know about the Sum Rule and Product Rule. Then you also understand …
Machine Learning 101 – Application of Bayes’ Theorem
In the previous lesson (Lesson 9), we derived Bayes theorem. So let’s write it out: Also recall that Bayes’ theorem helps us find conditional probabilities …
Machine Learning 101 – Introduction to Probability Theory
As you already know, one of the four basic theories of Machine Learning is the Probability Theory. Or simply, Probability. And this is one challenge …
Machine Learning 101 – Overfitting and Underfitting
Remember that in the previous lecture (Lecture 6), we discuss polynomial curve fitting. We kind of saw that the relationship in a dataset can be …
Machine Learning 101 – Polynomial Curve Fitting
This is Lecture 6 of Machine Learning 101. We would discuss Polynomial Curve Fitting. Now don’t bother if the name makes it appear tough. This …
Machine Learning 101 – Equation for a Line and Regression Line
Let’s go back to the regression problem we solved in Lecture 4. We are given a dataset. You need to find the relationship between the …
Machine Learning 101 – Simple Regression Problem
This is Lecture 4 of the Machine Learning 101. It follows from Lecture 3. In this lecture, we would solve some regression problems. So brace …
Conditional Probability – Application of Bayes’s Rule
In the previous lesson(Introduction to Bayes’ Rule), we saw how Bayes’ Rule can be applied to medical diagnosis. So in this chapter, we would see …
Conditional Probability – Introduction to Bayes’ Rule
Bayes Rule is based on Conditional Probability which we have been discussing in the previous 3 lessons. Conditional Probability – Basics Conditional Probability – Multiplication …