Hello NLP learner!! I hope you had visited our last article - Introduction to Natural Language Processing using Python. With that, you would have got an idea that Natural Language Processing essentially deals with Text Analytics. As a next step, we naturally need to learn how to deal with text or in other words strings
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Chatbots are a common feature on any website these days. We visit a site, and a chatbot pops up encouraging us to interact. Many of us will find this intriguing. A Data Science enthusiast will probably go ahead and look for the underlying concept of Natural Language Processing (NLP). I have recently done a lot
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We all know that the world recently took a massive hit from the COVID-19 pandemic, which continues to spread at a scary fast speed. As they say that "Desperate times need desperate measures". The "Lockdown" strategy was decided upon as a measure to contain its outspread. Consequently, and instantly, the global economy went far south.
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Introduction - Data Visualization is necessary and indeed a very interesting scope of work while solving any Data Science problem. There are several licensed and open-source Data Visualization tools available in the market like Tableau, Power BI, DataWrapper, Infogram, etc. Having said that, Python is in no way behind and provides some amazing libraries to perform
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Data Science today is a well-established career. People across the globe from various profiles are switching to a career in the field of Data Science and Artificial Intelligence. It is worth noting here that this field is regularly interrupted by new and improved tools and programming languages, both licensed or open-source. It becomes prerogative that
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We have covered Python Data Types and Loops in Python earlier. I hope you find them useful. Moving ahead with our Python learning, in this article we are going to talk about the top 15 interesting tricks every Python beginner must know. First of all, let us understand about Functions and Methods. Function - A Function is an
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In continuation of the previous post about Python Data Types, we proceed with the loop statements in Python. In this article, we are going to talk about the Python Loop - the For and While loops, their syntaxes with some examples, how we can use Else statements in these loops and how to create nested
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Data Science has taken like a wind among the millennials. Many have found that it is one of the most trending jobs right now. But finding the correct data science course for yourself can be a challenge! Thanks, to the vast development in the technological sector and implementation of many ed-tech models, you can also
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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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