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Exploratory Data Analysis in Python using pandas

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In this video, I will be showing you how to perform basic data pre-processing and exploratory data analysis (EDA) in Python using the pandas library. For this tutorial, we will be performing exploratory data analysis to answer practical questions using the NBA Basketball player stats data that we had previously obtained via web scraping.
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⭕ Playlist:
Check out our other videos in the following playlists.
⭕ Subscribe:
If you're new here, it would mean the world to me if you would consider subscribing to this channel.
⭕ Recommended Tools:
Kite is a FREE AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite and I love it!
⭕ Recommended Books:
⭕ Stock photos, graphics and videos used on this channel:
⭕ Follow us:
⭕ Disclaimer:
Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to the improvement of this channel's contents.
#dataprofessor #pandas #EDA #exploratorydataanalysis #datavisualization #datavisualisation #dataviz #datavis #dataframe #dataframes #jupyternotebook #jupyter #googlecolab #colaboratory #notebook #machinelearning #datascienceproject #randomforest #decisiontree #svm #neuralnet #neuralnetwork #supportvectormachine #python #learnpython #pythonprogramming #datascience #datamining #bigdata #datascienceworkshop #dataminingworkshop #dataminingtutorial #datasciencetutorial #ai #artificialintelligence #tutorial #dataanalytics #dataanalysis #machinelearningmodel #datascientist #datascientists
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