### A Beginner’s Guide to Tidyverse – The Most Powerful Collection of R Packages for Data Science

Introduction Data scientists spend close to 70% (if not more) of their time cleaning, massaging and preparing data. That’s no secret – multiple surveys …

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Introduction Data scientists spend close to 70% (if not more) of their time cleaning, massaging and preparing data. That’s no secret – multiple surveys …

RStudio has just laid to rest one of the biggest hurdles R faced in terms of enterprise adoption by releasing the Package Manager tool!

Introduction Most popular programming languages have one thing in common – they are all “Open source”. Open source is a decentralised development model which is based …

Introduction R users (mostly beginners) struggle helplessly while dealing with large data sets. They get haunted by repetitive warnings, error messages of insufficient memory …

Introduction Data Manipulation is an inevitable phase of predictive modeling. A robust predictive model can’t just be built using machine learning algorithms. But, with an …

- Headstart to Plotting Graphs using Matplotlib library
- 40 Questions to test a data scientist on Machine Learning [Solution: SkillPower – Machine Learning, DataFest 2017]
- Boost Model Accuracy of Imbalanced COVID-19 Mortality Prediction Using GAN-based Oversampling Technique
- 30 Questions to test a data scientist on Linear Regression [Solution: Skilltest – Linear Regression]
- 40 Questions to test a Data Scientist on Clustering Techniques (Skill test Solution)
- 45 Questions to test a data scientist on basics of Deep Learning (along with solution)
- 25 Questions to test a Data Scientist on Support Vector Machines
- Commonly used Machine Learning Algorithms (with Python and R Codes)