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…Jun 3, 20172Jun 3, 20172
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…May 18, 20177May 18, 20177
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…May 17, 20172May 17, 20172
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…May 14, 20171May 14, 20171
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…May 11, 201717May 11, 201717
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…May 6, 2017May 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…May 4, 20179May 4, 20179
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)…May 3, 201746May 3, 201746
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.May 2, 201725May 2, 201725
Savan PatelinLifesparkHave we lost the real touch in this touchscreen world?Here is Food for thoughtMay 1, 20171May 1, 20171
