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Articles by Kashish Rastogi
Ranked: Most Popular U.S. Undergraduate Degrees (2011–2021) | Flipboard
12 hours ago There is a battle in American education over two loaded adjectives, “gifted” and “advanced.” It has raged behind the scenes for decades, but that may change. The issue made an important appearance recently in a scholarly paper by a national panel of experts on education and other topics — some …
Ranked: Most Popular U.S. Undergraduate Degrees (2011–2021)
Ranked: Most Popular U.S. Undergraduate Degrees (2011–2021) In an era of soaring tuition fees and mounting student debt, choosing which undergraduate degree to pursue has become a crucial decision for any aspiring college student. And it always helps to see which way the winds are blowing.
Visualizing Global Wheat Production by Country (2000-2020)
Visualizing Global Wheat Production by Country (2000-2020) Wheat is a dietary staple for millions of people around the world. After rice and corn (maize), wheat is the third most-produced cereal worldwide, and the second-most-produced for human consumption. And considering wheat’s importance in the global food system, any impact on major producers such as droughts, wars, or other events, can impact the entire world. Which countries are the largest producers of wheat?
Text Cleaning Methods in NLP | Part-2
This article was published as a part of the Data Science Blogathon. Introduction In the first part of the series, we saw some most common techniques which we daily use while cleaning the data i.e. text cleaning in NLP. I would recommend if you haven’t read it first read it, which will help you in text cleaning. The Link for the article is here. You can find the GitHub link here and start practicing and get your hand on the problem.
Text Cleaning Methods in NLP
This article was published as a part of the Data Science Blogathon. Iilding. Well, cleaning of data depends on the type of data and if the data is textual then it is more vital to clean the data. Well, there are various types of text processing techniques that we can apply to the text data, but we need to be careful while applying and choosing the processing steps. Here, the steps of processing the textual data depend on the use cases.
10 Ideas that every Professional should avoid for Data Visualization
Image credits: Taras Bakusevych Data is the new oil we have heard it so many times. But can we visualize that data in a proper format? With the amount of data at our disposal today, the need to extract insights from it is more important than ever. Hundreds of visualizations are created every day. Some are appreciated well by the audience while others are just rejected. Why so? Well, the answer lies in creation. Let’s find out the cause and the problem and see how to solve them.
Guide for Data Visualization With Bokeh
Introduction I am sure many of you have read several articles around the world stating the buzz around “Machine Learning, “Data Scientist”, “Data Visualization” and so on. Some have branded data science as the sexiest job of the 21st century. A report stated by Anaconda’s State of Data Science Report 2020 that 21% of the time is given to Data Visualization. It is important to use a tool or library to help us in the flow of storytelling.
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