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Introduction to Data Visualization in Python

  • Ankit Dixit 

Having tabular data can make it challenging to comprehend your data when working with it genuinely. Visualizing data or representing it in a pictorial form will enable us to understand better what the information means and how to clean and use it. Tables and CSV files can’t reveal patterns, correlations, or trends, but graphs can.

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Media and Entertainment Sector: Applications of Artificial Intelligence

There’s a change foot in the media and entertainment industry, and we have artificial intelligence (AI) to thank for it. The global industry is utilizing the power of AI to make visual content more interactive and exciting. It helps to serve the audience to personalize content reach while enhancing the viewing experience that is more interesting and entertaining.

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Want Greater Business Efficiency? Map Your Smart Data Transformation Journey

  • Jodi Daniels 

Companies need to collect huge volumes of data produced to extract valuable insights via data analysis to survive, let alone thrive in the competitive marketplace. It is the lifeblood of most business decisions, functions, and processes. But the process of data collection can be highly challenging for many organizations.

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DSC Weekly 8 Nov 2022 – Layoffs in the Work From Home Era

  • Kurt Cagle 

This week saw the news that two major automotive companies, Ford and VW, were walking away from a multi-billion dollar investment into Argo AI, a venture intended to build self-driving vehicles. Instead, the companies hope to roll at least some of that effort back into augmenting drivers’ abilities to drive safely and efficiently.

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Social Media Sentiment Analysis Using Twitter Datasets

Several hundreds of thousands of raw data files are uploaded by users every day to social media sites. Online user data provides access to an enormous amount of information regarding products, services, places, and events, which makes it suitable for sentiment analysis. Valuable information can be extracted by analyzing the sentiment of the data.

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