Machine Learning with Real-World Projects — S4
Self-paced video training — 2 modules, 6 lessons. Work through it at your own pace — every lesson is real recorded training, not slide-reading.
▶INSIDE THE COURSE · 6 LESSONSABOUT THIS COURSE
In this advanced course, students will engage with real-world projects to deepen their understanding of machine learning. The curriculum covers importing data, exploratory data analysis (EDA), and essential data preprocessing techniques. Participants will also learn to build artificial neural networks (ANNs), perform feature engineering, and develop robust machine learning models.
CURRICULUM
2 modules, in order.
01Introduction1 LESSONS
this lesson provides an overview of the course and its objectives.
02Case Study5 LESSONS
learn how to import data and conduct exploratory data analysis.
discover techniques for preparing and cleaning data for analysis.
understand the process of building an artificial neural network.
explore methods for feature engineering to improve model performance.
learn how to build and train machine learning models.
CURATED BY
Selected from experienced educators' training libraries and kept whole — modules, worked examples and walkthroughs exactly as taught.
GOOD TO KNOW
Lessons stream in the browser and remember where you stopped.
Watch on two devices at once — phone, tablet or desktop.
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$39 · ONE PAYMENT
Own every lesson, for life.
One payment unlocks all 6 lessons instantly — start with lesson one the moment you check out.