Published inTowards Data Science·Mar 27Member-onlyMulticlass Logistic Regression using Gradient DescentAn introduction to multiclass logistic regression with theory and Python implementation — Contents This post is a part of a series of posts that I will be making. Underneath you can see an overview of the series. 1. Introduction to machine learning (a) What is machine learning? (b) Model selection in machine learning (c) The curse of dimensionality (d) What is Bayesian inference? 2. Regression (a) How linear regression actually…Data Science6 min readData Science6 min read
Oct 13, 2022Member-onlyWhat you can expect to earn in your first month as a Medium partnerMy first month as a Medium partner — How much did I earn? What did I learn? Will I continue? — So, let’s get these questions out of the way: How much did I earn? I earned 47.89 USD (before taxes). What is my experience? I think I got lucky. What did I learn? Writing is tough. Will I continue? Well, yes and no. Okay, now that’s out of the way…Medium4 min readMedium4 min read
Published inTowards Data Science·May 7, 2021Member-only(Gaussian) Naive BayesAn introduction to the (Gaussian) Naive Bayes model 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…Data Science3 min readData Science3 min read
Published inTowards Data Science·Apr 9, 2021Member-onlyLinear Discriminant AnalysisAn 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…Data Science4 min readData Science4 min read
Published inTowards Data Science·Apr 2, 2021Member-onlyQuadratic Discriminant AnalysisA 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…Data Science6 min readData Science6 min read
Published inTowards Data Science·Mar 30, 2021Member-onlyOverview of ClassifiersA 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…Data Science5 min readData Science5 min read
Published inTowards Data Science·Mar 25, 2021Member-onlyHow to improve your linear regression with basis functions and regularizationIntroduction 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…Data Science4 min readData Science4 min read
Published inTowards Data Science·Mar 22, 2021Member-onlyHow Linear Regression Actually WorksDerivation of the maximum likelihood estimate 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…Machine Learning7 min readMachine Learning7 min read
Published inTowards Data Science·Mar 18, 2021Member-onlyWhat Is Bayesian Inference?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…Data Science9 min readData Science9 min read
Published inTowards Data Science·Mar 15, 2021Member-onlyThe curse of dimensionalityAn 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…Data Science5 min readData Science5 min read
