### A Collection of 10 Data Visualizations You Must See

Introduction Writing codes is fun. Creating models with them is even more intriguing. But things start getting tricky when it comes to presenting our …

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Introduction Writing codes is fun. Creating models with them is even more intriguing. But things start getting tricky when it comes to presenting our …

Introduction Data visualization is probably the most important and typically the least talked about area of data science. I say that because how you …

Introduction This plan is for people planning a career shift in analytics and data science this year. Entering a new field can be overwhelming. What to …

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 “It’s called reading. It’s how people install new software into their brain” Personally, I haven’t learnt as much from videos & online tutorials …

Introduction There is magic in graphs. The profile of a curve reveals a whole situation in a flash – history of an epidemic, a …

Introduction This good news is only for (future) R Users! If you are new to data science, and keen to begin your career, bookmarking this …

- 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)
- Introductory guide on Linear Programming for (aspiring) data scientists