An introduction to Linear Discriminant Analysis (LDA) with theory and Python implementation — Contents This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series. 1. Introduction to machine learning (a) What is machine learning? (b) Model selection in…

A deep introduction to Quadratic Discriminant Analysis (QDA) with theory and Python implementation — Contents This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series. 1. Introduction to machine learning (a) What is machine learning? (b) Model selection in…

A gentle introduction to classification, overview of models, and important concepts therein — Contents This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series. 1. Introduction to machine learning (a) What is machine learning? (b) Model selection in…

Introduction to basis functions and regularization with theory and Python implementation — Contents This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series. 1. Introduction to machine learning (a) What is machine learning? (b) Model selection in…

We derive the maximum likelihood estimate and implement it — Contents This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series. 1. Introduction to machine learning (a) What is machine learning? (b) Model selection in…

From intuitive explanation to mathematical theory with a classic coin toss example — Contents This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series. 1. Introduction to machine learning (a) What is machine learning? (b) Model selection in…

An intuitive demonstration of the curse of dimensionality, and what we can do to combat it — Contents This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. You can see an overview of the series below. 1. Introduction to machine learning (a) What is machine learning? (b) Model selection in…

Introduction to overfitting, hyperparameters, cross-validation with Python implementation — Contents This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series 1. Introduction to machine learning (a) What is machine learning? (b) Model selection in…

Introduction to supervised and unsupervised learning with an example of polynomial regression with Python implementation — Contents This post is a part of a series of posts that I will be making. You can read a more detailed version of this post on my personal blog by clicking here. Underneath you can see an overview of the series. 1. Introduction to machine learning (a) What is machine learning?