### 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 …

Introduction What differentiates the best data scientists from others? It is their focus on application of data science. The best data scientists I know …

Introduction The greatest value of a picture is when it forces us to notice what we never expected to see. ―John Tukey Data visualization …

Introduction Sometimes numbers do have a beautiful story to share! Visualizing data is crucial in today’s world. Without powerful visualizations, it is almost impossible …

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 Most of us have limited knowledge of regression. Of which, linear and logistic regression are our favorite ones. As an interesting fact, regression has …

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 …

Introduction R offers multiple packages for performing data analysis. Apart from providing an awesome interface for statistical analysis, the next best thing about R is …

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