Have you ever felt the pain of explaining your deep learning model to somebody else? As a machine learning scholar or a practitioner, you will have to communicate to others about an architecture you’re working on or you might be trying to make sense of a model that you’ve got…

If you are a machine learning enthusiast and a python user, you definitely have heard of Scikit-Learn. It is an open source library for predictive data analysis which is built on famous python libraries and packages like Numpy, Scipy and Matplotlib. …

Cleaning up data is a crucial part of any machine learning procedure. A good machine learning practitioner should always be aware that data cleanup plays a vital role in preparing the data so that the machine learning model can understand the dataset better, ultimately providing better results as a model…

Yesterday was the day that I finally worked up the courage to update R on my computer. It was kind of obvious that an update was due soon as I was using older R version 3.4.4 codenamed “Someone to Lean On”. I wanted to update it to the newest version…

R is a special software environment developed for statistical computing and graphics. It can be considered as a tool used for analyzing and extracting patterns from large sets of data that can be used in drawing conclusions. R language comes with a bunch of pretty useful functions for data analysis…