Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, …
Introduction I was talking to one of my friends who happen to be an operations manager at one of the Supermarket chains in India. …
Introduction For any Python or R practitioner, this article will prove to be a boon. We provide you cheatsheets for the most widely used machine …
Introduction One of the best ways I use to learn machine learning is by benchmarking myself against the best data scientists in competitions. It …
Overview A coding background is not mandatory for data analysis and predictive modelling Plenty of open source and proprietary tools exist which automate the …
Introduction Surprises arrive when you expect them least to arrive. The Seer’s Accuracy turned out to be a challenging surprise for data scientists. So, what changed …
Overview Free tutorial to learn Data Science in R for beginners Covers predictive modeling, data manipulation, data exploration, and machine learning algorithms in R …
Introduction Let’s come straight to the point on this one – there are only 2 types of variables you see – Continuous and Discrete. …
Introduction Categorical variables are known to hide and mask lots of interesting information in a data set. It’s crucial to learn the methods of …
Introduction Machine Learning is nothing but building a ‘machine’ which ‘learns’ from its experience. And, becomes better with experience – just like humans. We also …
