Data types are the building blocks of every programming language. Any variable that stores a value contains some data which can be Boolean, string, number, etc. We talk in terms of classes and objects in Python. Data types are classes and the variables are objects. We can operate a variable based on what kind of
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Web scraping is a commonly used technology existing for a couple of decades now. We use programming languages like Python with libraries namely Beautiful Soup, Selenium, Scrapy, etc. or R with Rvest package for web scraping. Other web scraping tools are also available. A vivid explanation of how we do web scraping using Python is
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Machine Learning is rapidly changing the world. Whether it’s healthcare, finance, or transportation, machine learning is transforming industries and becoming an essential part of our lives.
Global Machine Learning market size is expected to reach USD 528.10 billion by 2030. And according to McKinsey, 70% of companies will have adopted at least one type of AI
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We are proud to share that Satyajit, has bagged a Data Analyst job with Amazon, one of the largest e-commerce giants in the world. Here is more to what he is excited to share about his Amazon Interview.
Q1) Details of your Amazon interview experience: Please mention how many rounds of interview you had to appear
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So far we have posted several articles about Data Science, about technologies like R, Python, Tableau and Power BI, Data Science competitions, the top Data Science influencers on Twitter and many more. The ones who are actively pursuing this field will know that Data Science has spread its wings across all the industries. Various amazing
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It was the year 1956 when the term “artificial intelligence” was first coined by John McCarthy. A demo of the AI program at Carnegie Mellon University was also attempted. More than half a century later, we see AI making a massive impact on our lives. From Siri to driverless cars to International Space Station, Artificial Intelligence
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Data Visualization has gained massive popularity lately. Not only is this required by Data Scientists and Data Analysts, but also useful for many other roles from various industries like Finance, Marketing, etc. There are two ways in which we can create visuals from the available data. The first one is by using programming languages like
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There are 100s of programming languages existing today like Java, C, C++, Unix, Python, R, etc. Many have got obsolete while others are being invented rapidly or observe a variation in demand depending upon the usage over the course of the past several decades. The last couple of years has witnessed a surge in demand
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Introduction to Data Science
This article is a beginner's guide to Data Science for all the aspirants, covering information from utilizing an abundance of data to careers in Data Science.
Today, the Internet is a vital part of our life. Half the world's population is already using it. Youtube, Netflix, Google searches, Twitter, Facebook, Instagram, Amazon,
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We are proud to share that Tanwi has bagged a Data Analyst job with HSBC, one of the largest global banks, HSBC. Below she shares her Interview Experience with the big conglomerate.
Nothing is impossible to a willing heart -
Together with Ivy, I could make a successful career transition as a Data Analyst. Ivy owned my
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It would be such a mundane life if not for various kinds of challenges and competitions to prove your prowess in any field. You would just learn some skills and never get to know if you are the best in that. Engaging in any contest not only provides a massive learning opportunity but also brings
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Recently an intriguing thought struck me. With all the automation and technological advancement which we get to read every passing day, I started to wonder if it is possible to electronically read a text from any image. I approached the omniscient google to look for my answers and voila! Thanks to google, I realized that
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Welcome to the third article of my series "Writing your own functions in R". This weekend we will see how we can create attractive excel reports using openxlsx package.
In the previous article, we wrote a function that iterates through all ".xlsx" files stored within a folder and while scanning through individual files, it would print the name
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Welcome to the second article in my series of “Writing Your Own Functions in R”.
In this article, we will see how we can write a custom function that iterates through different sheets in .xlsx files stored in a directory. We will also see how we can use this function to even process the data stored
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There is so much in common we do whenever we start writing an R script. Recently we have identified a few things which are pretty repetitive and it only helps if one function does it all. Lets see how we can run our own functions in R.
The objective of publishing this article is to help
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