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Machine Learning-101
A journal for learning about Machine Learning.
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The term kernel here is different from system kernel.
Savan 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…
Savan 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…
Savan 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…
Savan Patel
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…
Savan 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…
Savan Patel
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…
Savan Patel
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)…
Savan Patel
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.
Savan 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…
Savan Patel
Apr 29, 2017
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