Build on your existing knowledge with intermediate spark ml techniques and real-world applications.
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Descriptive and inferential statistics
Comfortable with data manipulation in Python/R
Learn Machine Learning Like a GENIUS and Not Waste Time
IntermediateAll Machine Learning algorithms explained in 17 min
IntermediateHow To Learn Math for Machine Learning FAST (Even With Zero Math Background)
IntermediateTransformers Explained - How transformers work
IntermediateTransformer Neural Networks - EXPLAINED! (Attention is all you need)
IntermediateIllustrated Guide to Transformers Neural Network: A step by step explanation
IntermediateLearn Machine Learning Like a GENIUS and Not Waste Time
IntermediateAll Machine Learning algorithms explained in 17 min
IntermediateHow To Learn Math for Machine Learning FAST (Even With Zero Math Background)
IntermediateTransformers Explained - How transformers work
IntermediateTransformer Neural Networks - EXPLAINED! (Attention is all you need)
IntermediateIllustrated Guide to Transformers Neural Network: A step by step explanation
IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
Learn Machine Learning Like a GENIUS and Not Waste Time
All Machine Learning algorithms explained in 17 min
How To Learn Math for Machine Learning FAST (Even With Zero Math Background)
Transformers Explained - How transformers work
Transformer Neural Networks - EXPLAINED! (Attention is all you need)
Illustrated Guide to Transformers Neural Network: A step by step explanation
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Build on your existing knowledge with intermediate spark ml techniques and real-world applications.
You'll work through Deepen your understanding with advanced concepts; Build more complex real-world projects; Learn optimization and best practices; Perform exploratory data analysis (EDA) on complex datasets; Clean and preprocess data for analysis; Create compelling data visualizations.
About 1 hours of study across 6 courses — and you can go at your own pace.
It's pitched at intermediate level, so a little prior familiarity helps.
6 curated courses, sequenced from foundational to advanced.
The courses in this path can be started for free.
Enroll in this path to track your progress and stay motivated.