Savan PatelinMachine Learning 101Chapter 6: Adaboost ClassifierAda-boost, like Random Forest Classifier is another ensemble classifier. (Ensemble classifier are made up of multiple classifier algorithms…4 min read·Jun 3, 2017--2--2
Savan PatelinMachine Learning 101Chapter 5: Random Forest ClassifierRandom Forest Classifier is ensemble algorithm. In next one or two posts we shall explore such algorithms. Ensembled algorithms are those…5 min read·May 18, 2017--7--7
Savan PatelinMachine Learning 101Chapter 4: K Nearest Neighbors ClassifierThe fourth and last basic classifier in supervised learning! K nearest Neighbors. In this post, we will discuss about working of K Nearest…5 min read·May 17, 2017--2--2
Savan PatelinMachine Learning 101Chapter 3 : Decision Tree Classifier — CodingIn this second part we try to explore sklearn library’s decision tree classifier. We shall tune parameters discussed in theory part and…4 min read·May 14, 2017--1--1
Savan PatelinMachine Learning 101Chapter 3 : Decision Tree Classifier — TheoryWelcome to third basic classification algorithm of supervised learning. Decision Trees. Like previous chapters (Chapter 1: Naive Bayes and…6 min read·May 11, 2017--17--17
Savan PatelinLifesparkTraits of Successful ProfessionalEveryone of us wants to be the best version of ourselves. Becoming a better professional is important to anyone who wants to improve at…6 min read·May 6, 2017----
Savan PatelinMachine Learning 101Chapter 2 : SVM (Support Vector Machine) — CodingHow well Support Vector Machine perform compared to Naive Bayes? Is it slower to train? Lets explore all such questions in this coding…7 min read·May 4, 2017--9--9
Savan PatelinMachine Learning 101Chapter 2 : SVM (Support Vector Machine) — TheoryWelcome to the second stepping stone of Supervised Machine Learning. Again, this chapter is divided into two parts. Part 1 (this one)…6 min read·May 3, 2017--46--46
Savan PatelinMachine Learning 101Chapter 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.7 min read·May 2, 2017--25--25
Savan PatelinLifesparkHave we lost the real touch in this touchscreen world?Here is Food for thought4 min read·May 1, 2017--1--1