Workshop 4: Data Pre-Processing in Python

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Learn the basics of data pre-processing in Python with this brief tutorial. Learn how to clean, transform, and prepare your raw data using essential techniques and popular libraries like Pandas and NumPy. Explore handling missing values, removing duplicates, scaling features, and more. Follow practical examples to gain a solid understanding of data quality and its impact on analysis results. Enhance your data analysis and machine learning skills by acquiring the necessary tools to confidently work with messy datasets and extract valuable insights. Perfect for beginners and experienced data scientists alike.

Workshop 4
Sacha (Sarah) Davis introduces the basics of data pre-processing in Python

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Join AIMSS in our free introductory course on Artificial Intelligence in Medicine! Originally delivered live in 2021, in Edmonton, Alberta.

Free lectures and workshops from AIMSS:
Intro lecture
Stream A: Introducing AI concepts and how they relate to medicine
Stream B: Introducing medical concepts and how AI can be applied
Outro lecture
Workshops: Learn how to build an AI model to solve a medical problem
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Glad I came across this video. This is exactly what I need. Thanks

edson_winner
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A great video. A link to download the dataset would help to follow along.

shujashakir
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She uploaded the video so that she can watch it over and over again, not for others.😂

Bws
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Kindly provide data sheet so people can practice

-Rahulkumarjha
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Video is really helpful . can you please provide github link so that people can practice

kedarinathk
welcome to shbcf.ru