,
Improve Your Model Performance using Cross Validation (in Python and R)
This article was originally published on November 18, 2015 and updated on April 30, 2018. Introduction One of the most interesting and challenging things …
,
15 Trending Data Science GitHub Repositories you can not miss in 2017
Introduction GitHub is much more than a software versioning tool, which it was originally meant to be. Now people from different backgrounds and not …
,
Understanding Support Vector Machine algorithm from examples (along with code)
Note: This article was originally published on Oct 6th, 2015 and updated on Sept 13th, 2017 Introduction Mastering machine learning algorithms isn’t a myth …
,
6 Easy Steps to Learn Naive Bayes Algorithm (with codes in Python and R)
Note: This article was originally published on Sep 13th, 2015 and updated on Sept 11th, 2017 Introduction Here’s a situation you’ve got into: You …
,
Essentials of Machine Learning Algorithms (with Python and R Codes)
Note: This article was originally published on Aug 10, 2015 and updated on Sept 9th, 2017 Introduction Google’s self-driving cars and robots get a lot …
,
30 Questions to test a data scientist on K-Nearest Neighbors (kNN) Algorithm
Introduction If you were to ask me 2 most intuitive algorithms in machine learning – it would be k-Nearest Neighbours (kNN) and tree based …
,
CatBoost: A machine learning library to handle categorical (CAT) data automatically
Introduction How many of you have seen this error while building your machine learning models using “sklearn”? I bet most of us! At least in …
,
Understanding and coding Neural Networks From Scratch in Python and R
Introduction You can learn and practice a concept in two ways: Option 1: You can learn the entire theory on a particular subject and …
,
22 must watch talks on Python for Deep Learning, Machine Learning & Data Science (from PyData 2017, Amsterdam)
Introduction Python is increasingly gaining popularity among machine learning and data science communities across the world – and for the right reasons. It probably …
,
Winners solutions & approach: The QuickSolver MiniHack, DataFest 2017
Introduction The best way to learn data science is to work on data problems and solve them. What is even better is to solve …
