Python Machine Learning for Healthcare - Predictive Modeling and Disease Detection

This comprehensive collection empowers you to harness the power of machine learning to tackle some of the most critical challenges in medical diagnostics.

From predicting diabetes outcomes and analyzing blood cell data to building sophisticated models for cancer mass classification, heart disease prediction, and malaria cell detection, this bundle covers it all.

With hands-on projects, you’ll develop neural networks and predictive algorithms that can make a real impact in the medical field.

Whether you’re a data scientist, healthcare professional, or tech enthusiast, this bundle provides the tools and knowledge to revolutionize medical diagnostics through AI.


Your Instructor


Team Mammoth
Team Mammoth

This bundle is a collaborative effort between multiple Mammoth Instructors.

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 14 years, Mammoth Interactive has built a global student community with 6+ million courses sold. Mammoth Interactive has released over 1,000 courses and 5,000 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


  Regression Fundamentals - Theory Behind the Code
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  Build a K Nearest neighbors regression model to predict diabetes
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  Build Regression Machine Learning Models to Detect Diabetes
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  Data analysis and transformation on blood cell data
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  Cluster blood cells based on fluorescent intensities
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  Preprocess a malignant vs benign cancer mass dataset
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  Build an SVM model to classify malignant vs benign cancer mass
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  Build a logistic regression model to classify malignant vs benign cancer mass
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  Improve model accuracy with tuning methods
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  Prepare heart disease data for machine learning
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  Predict heart disease with machine learning
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  Deep learning and neural networks introduction
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  Build a neural network to find malaria in cells
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Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

Get started now!