### 11 Powerful Talks from rstudio::conf 2020 you Must Watch – A Treat for R Users!

Introduction to the rstudio::conf 2020! I’m a heavy R user. It was the first programming language I learned (thanks to my interest in data …

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Introduction to the rstudio::conf 2020! I’m a heavy R user. It was the first programming language I learned (thanks to my interest in data …

Overview What is the chi-square test? How does it work? Learn about the different types of Chi-Square tests and where and when you should …

Introduction “You can’t prove a hypothesis; you can only improve or disprove it.” – Christopher Monckton Every day we find ourselves testing new ideas, …

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

This article was submitted as part of Analytics Vidhya’s Internship Challenge. Introduction “What are the different branches of analytics?” Most of us, when we’re …

What is the central limit theorem? What are it’s applications? And how can you implement the central limit theorem in R? Find out in this article!

In this article, I showcase how I used my fitness tracker data and created really cool interactive and animated plots in R.

Check out these 8 amazing R packages you should be using in your machine learning project but haven’t heard of yet! Code plus examples included.

Presenting an intuitive and easy-to-use R package to enhance credit risk scoring and validation! THis article contains comprehensive R code as well.

Check out the top highlights from rstudio::conf 2019 – what’s new in the world of R? This article lists down all that, plus links, resources, and much more!

- Commonly used Machine Learning Algorithms (with Python and R Codes)
- 7 Regression Techniques you should know!
- 24 Ultimate Data Science (Machine Learning) Projects To Boost Your Knowledge and Skills (& can be accessed freely)
- A Complete Python Tutorial to Learn Data Science from Scratch
- Complete Guide to Parameter Tuning in XGBoost with codes in Python
- 6 Easy Steps to Learn Naive Bayes Algorithm with codes in Python and R
- Understanding Support Vector Machine(SVM) algorithm from examples (along with code)
- Introductory guide on Linear Programming for (aspiring) data scientists