Machine Learning Made Simple (The Course)
This Course is part of the following Tracks:
Course Info
This course includes 1 attempt.
This course gives you an intuitive understanding of the eight most important machine learning algorithms. It helps you get started using them in your own projects NOW -- in a single line of Python code. After finishing this course, you'll be able to select, understand, and implement the top 8 machine learning algorithms in your own projects.
Course Material
- Linear Regression Made Simple
- Quiz 11 attempt allowed
- Logistic Regression Made Simple
- Quiz 21 attempt allowed
- K-Nearest Neighbors Made Simple
- Quiz 31 attempt allowed
- K-Means Clustering Made Simple
- Quiz 41 attempt allowed
- Decision Tree Learning Made Simple
- Quiz 51 attempt allowed
- Random Forest Classifier Made Simple
- Quiz 61 attempt allowed
- Support Vector Machines Made Simple
- Quiz 71 attempt allowed
- Neural Networks Made Simple
- Quiz 81 attempt allowed
Instructors
Chris is the founder of the programming education company FINXTER, author of the Coffee Break Python series of self-published books, the popular programming book Python One-Liners (NoStarch 2020), a doctorate computer scientist, and owner of one of the top 10 Python blogs worldwide.
His research interests include graph theory and distributed systems.
You can join the FINXTER email academy and consume a large body of free email courses about various topics in computer science and programming.
I love coding and espacially in Python! Python is easy to learn and at the same time it is very powerful. Through the books I would like to help you to discover this! Therefore we designed our puzzle based teaching approach which helps you to learn quickly what you really need and with fun.
I have been working as a Software developer for several years. Currently I'm in the field of operations/SRE of cloud applications.
Community
This course has a private forum for learners who are taking this course.
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