Foundations of Predictive Machine Learning with Python and Cursor
Ready to transform your future? This course introduces the fundamental principles of Data Modeling, focusing on Python's versatile tools and libraries.
You'll learn how to preprocess data, apply essential algorithms, and build simple models that make accurate forecasts.
Designed for beginners, the course provides a comprehensive foundation in predictive analytics, setting the stage for more advanced AI techniques.
Register while spots remain.
Your Instructor
Alexandra Kropf is Mammoth Interactive's CLO and a software developer with extensive experience in full-stack web development, app development and game development. She has helped produce courses for Mammoth Interactive since 2016, including the Coding Interview series in Java, JavaScript, C++, C#, Python and Swift.
Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.
Over 12 years, Mammoth Interactive has built a global student community with 4 million courses sold. Mammoth Interactive has released over 350 courses and 3,500 hours of video content.
Founder and CEO John Bura has been programming since 1997 and teaching
since 2002. John has created top-selling applications for iOS, Xbox and
more. John also runs SaaS company Devonian Apps, building
efficiency-minded software for technology workers like you.
Course Curriculum
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Start00 Overfitting and Underfitting Explained
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Start01a Example of Overfitting and Underfitting
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Start01b Overfitting and Underfitting Visualized with Python and Cursor (13:22)
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Start02a Cross Validation
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Start02b Cross Validation Visualized with Python and Cursor (14:22)
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Start03a Bias-Variance Tradeoff
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Start03b Bias-Variance Tradeoff Visualized with Python and Cursor (16:24)