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This article was written by Manish Saraswat. Source for picture: click here This article is meant to help R users enhance their set of skills and… Read More »How can R Users Learn Python for Data Science ?

This article summarizes a trend in programming languages usage, based on a number of proxy metrics. This change started to be more pronounced in early… Read More »Python Overtakes R for Data Science and Machine Learning

In the last few blog posts of this series discussed regression models at length. Fernando has built a multivariate regression model. The model takes the… Read More »Data Science Simplified Part 9: Interactions and Limitations of Regression Models

Abstract – Big data helps to make strategy for future and understand user behaviors. In 1959, Arther Samuel gave very simple definition of Machine Learning as “a… Read More »Machine Learning in Fintech – Demystified

Here a list of resources, mostly in the form of tutorials, covering most important topics in data science: This resource is part of a series on… Read More »Comprehensive Repository of Data Science and ML Resources

Summary:  In the first part of this series we described the basics of Reinforcement Learning (RL).  In this article we describe how deep learning is… Read More »Reinforcement Learning Part 3 – Challenges & Considerations

Pictographs are exceptionally good for some types of data. In this post, I show how useful they are for displaying proportions (e.g. rates, percentages, fractions).… Read More »Where Pictographs Beat Bar Charts: Proportional Data