R
Articles related to R software
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How to create animated GIF images for data visualization using gganimate (in R)?
Introduction Data visualization is probably the most important and typically the least talked about area of data science. I say that because how you …
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Getting started with Deep Learning using Keras and TensorFlow in R
Introduction It has always been a debatable topic to choose between R and Python. The Machine Learning world has been divided over the preference …
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Understanding and coding Neural Networks From Scratch in Python and R
Introduction You can learn and practice a concept in two ways: Option 1: You can learn the entire theory on a particular subject and …
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40 questions to test your skill on R for Data Science
R is one of the most popular language among the data science community. If you are serious about data science, chances are that you …
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Creating a flawless winning strategy in a Casino (BlackJack) using Data Science?
Can we create a flawless winning strategy in a Casino using Data Science? Of course not! Otherwise, all the data scientists out there would …
![40 Questions to test a data scientist on Time Series [Solution: SkillPower – Time Series, DataFest 2017]](https://s3-ap-south-1.amazonaws.com/av-blog-media/wp-content/uploads/2017/04/10064538/Skilltest_timeseries_icon-360x193.png "40 Questions to test a data scientist on Time Series [Solution: SkillPower – Time Series, DataFest 2017]"){kind=icon}
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40 Questions to test a data scientist on Time Series [Solution: SkillPower – Time Series, DataFest 2017]
Introduction Time Series forecasting & modeling plays an important role in data analysis. Time series analysis is a specialized branch of statistics used extensively …
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Beginner’s Guide on Web Scraping in R (using rvest) with hands-on example
Introduction Data and information on the web is growing exponentially. All of us today use Google as our first source of knowledge – be it …
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How I created a package in R & published it on CRAN / GitHub (and you can too)?
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 …
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How to handle Imbalanced Classification Problems in machine learning?
Introduction If you have spent some time in machine learning and data science, you would have definitely come across imbalanced class distribution. This is …
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Introduction to Gradient Descent Algorithm (along with variants) in Machine Learning
Introduction Optimization is always the ultimate goal whether you are dealing with a real life problem or building a software product. I, as a …
