20 Most Popular R packages

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R offers multiple packages for performing data analysis. Apart from providing an awesome interface for statistical analysis, the next best thing about R is the endless support it gets from developers and data science maestros from all over the world. Currently, the CRAN Package repository features 11349 available packages. But the question is which packages are the most popular packages used […]

Structure of a Data Science Project | Different Phases in Data Science Project

Posted on Leave a commentPosted in Data Science, Data Science with Python

A typical data science project will be structured in a few different phases. There’s roughly five different phases that we can think about in a data science project. Phase 1: Defining A Question The first phase is the most important phase, and that’s the phase where you ask the question and you specify what is it that you’re interested in […]

Popular Python Libraries for Data Analysis

Posted on Leave a commentPosted in Data Science, Data Science with Python, Machine Learning

Python is a general purpose language and is often used for things other than data analysis and data science. What makes Python extremely useful for working with data? There are libraries that give users the necessary functionality when crunching data. Below are the major Python libraries that are used for working with data. You should take some time to familiarize […]

Why Learn Python as a Data Analytics Tool?

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Python’s ecosystem has grown dramatically in recent years, making it more capable of the statistical analysis. Python is intuitive and easier to learn than R. In the recent years, Python is one of the most popular languages for Data Science and Analytics. As it is widely used for data analysis and you might have considered learning it yourself. See why […]

The Most Popular Languages for Data Science and Analytics – 2017

Posted on Leave a commentPosted in Data Science, Machine Learning, R Programming

Because this post is about most popular languages for data science, it might be reasonable to first ask, “What is data science?”. Most people are creating hype around data science that data science have focused on the first word: data. They always care about volume and velocity and whatever other buzzwords describe data that is too big for you to […]

20 Machine Learning and AI Startups in India Running the AI Race- 2017

Posted on 4 CommentsPosted in Data Science, Machine Learning

 AI is the future. AI is science fiction and it is already part of our everyday lives. Suddenly AI is everywhere. Big players like Google, Facebook, Deepmind, Apple, Microsoft, Baidu, Amazon are the leaders in AI research and winning the race for Artificial Intelligence. Except those big player, there are few exciting start-ups that are using machine learning and AI techniques to transform […]

List of Big Companies using R

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 The continuous popularity and growth of R Programming Language has been helping data-driven companies succeed for more than a decade. In recent years, almost every industry sees data and analytics as a strategic competitive advantage. And R is the language of choice for many data scientist and data analyst. According to O’Reilly’s 2016 data science salary survey, R was in […]

5 Most Popular Python Libraries for Machine Learning and Deep Learning in 2017

Posted on 1 CommentPosted in Data Science, Machine Learning

Open source platforms like Python and R play an important role in the Data Science market.  In the recent years Python has gained a lot of attraction in Data Science industry along with R. In this post, I have listed 5 most popular and useful python libraries for Machine Learning and Deep Learning. There is a lot of confusion these […]

15 Leading Data Science & Analytics Platforms for Enterprise- 2017

Posted on 4 CommentsPosted in Data Science, Machine Learning

“A resilient Data Science Platform is a necessity to every centralized data science team within a large corporation. It helps them centralize, reuse, and productionize their models at peta scale”. If You are a small team and building two or three use cases then it is not required for any data science platform but if you’re a central team with […]