Data Science Simplified Part 6: Model Selection Methods
In the last article of this series, we had discussed multivariate linear regression model. Fernando creates a model that estimates the price of the car based on five inpu...
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15 Timeless Data Science Articles
This is our first post of a new series featuring articles published long ago. We manually selected articles that were most popular or overlooked, time-insensitive (for in...
The Future of Data Science in One Picture
We have published various “one picture” articles about data science topics. Our readers find them very useful, as they convey the same amount of information i...
Data Science: Identifying Variables That Might Be Better Predictors
I love the simplicity of the data science concepts as taught by the book “Moneyball.” Everyone wants to jump right into the real meaty, highly technical data science ...
Is your New Year’s Resolution to Improve your CRM Data?
We all set New Year’s Resolutions. Unfortunately, research suggests that 63% of us break them within just one month. However, if there is one New Year’s Resolution...
Python Overtakes R for Data Science and Machine Learning
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 2017: Python became...
How can R Users Learn Python for Data Science ?
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 learn Python for data s...
Python Overtakes R for Data Science and Machine Learning
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 2017: Python became...
Data Science Simplified Part 9: Interactions and Limitations of Regression Models
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 following shape: ...
Data and Analytics; Don’t Trust Numbers Blindly
Data & Analytics have become main-stream. Executives and their boards are increasingly starting to question whether their organizations are truly realizing the full v...