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Machine Learning 101 – Medium

The term kernel here is different from system kernel.

Go to the profile of Savan PatelSavan Patel

Aug 30, 2018

Chapter 6: Adaboost Classifier

Chapter 6: Adaboost Classifier

Ada-boost, like Random Forest Classifier is another ensemble classifier. (Ensemble classifier are made up of multiple classifier algorithms…

Go to the profile of Savan PatelSavan Patel

Jun 2, 2017

Chapter 5: Random Forest Classifier

Chapter 5: Random Forest Classifier

Random Forest Classifier is ensemble algorithm. In next one or two posts we shall explore such algorithms. Ensembled algorithms are those…

Go to the profile of Savan PatelSavan Patel

May 18, 2017

Chapter 4: K Nearest Neighbors Classifier

Chapter 4: K Nearest Neighbors Classifier

The fourth and last basic classifier in supervised learning! K nearest Neighbors. In this post, we will discuss about working of K Nearest…

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May 17, 2017

Chapter 3 : Decision Tree Classifier — Coding

Chapter 3 : Decision Tree Classifier — Coding

In this second part we try to explore sklearn library’s decision tree classifier. We shall tune parameters discussed in theory part and…

Go to the profile of Savan PatelSavan Patel

May 14, 2017

Chapter 3 : Decision Tree Classifier — Theory

Chapter 3 : Decision Tree Classifier — Theory

Welcome to third basic classification algorithm of supervised learning. Decision Trees. Like previous chapters (Chapter 1: Naive Bayes and…

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May 11, 2017

Chapter 2 : SVM (Support Vector Machine) — Coding

Chapter 2 : SVM (Support Vector Machine) — Coding

How well Support Vector Machine perform compared to Naive Bayes? Is it slower to train? Lets explore all such questions in this coding…

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May 4, 2017

Chapter 2 : SVM (Support Vector Machine) — Theory

Chapter 2 : SVM (Support Vector Machine) — Theory

Welcome to the second stepping stone of Supervised Machine Learning. Again, this chapter is divided into two parts. Part 1 (this one)…

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May 3, 2017

Chapter 1 : Supervised Learning and Naive Bayes Classification — Part 2 (Coding)

Chapter 1 : Supervised Learning and Naive Bayes Classification — Part 2 (Coding)

Note: If you haven’t gone through first part, theory of Naive Bayes, I would suggest you to read through it. (4 mins read) here.

Go to the profile of Savan PatelSavan Patel

May 2, 2017

Chapter 1 : Supervised Learning and Naive Bayes Classification — Part 1 (Theory)

Chapter 1 : Supervised Learning and Naive Bayes Classification — Part 1 (Theory)

Welcome to the stepping stone of Supervised Learning. We first discuss a small scenario that will form the basis of future discussion…

Go to the profile of Savan PatelSavan Patel

Apr 29, 2017

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