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Machine Learning Course
Get ready to use machine learning power wit dis big class we build for people who sabi technology. We go dig di data collection and how to look at data wit Pandas and NumPy, we go learn how to split data well-well, and we go learn how to measure how good di model dem dey. We go learn all di important ways to prepare data, learn di best way to pick model, and we go understand how regression model like Decision Trees and Random Forests dey work. We go give you good lessons dat go make you ready to solve real problem dem. Join we now and change your work life!
- Learn how to handle data good-good: Load data, check am, and pick di data you want wit Pandas and NumPy.
- Learn how to split data well-well: Use cross-validation and stratified sampling.
- Learn how to measure how di model dey work: Understand MAE, MSE, and R-squared.
- Learn how to prepare data good: Fix missing data and change categorical data.
- Make di model dem work better: Tune di settings and use plenty models together.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Get ready to use machine learning power wit dis big class we build for people who sabi technology. We go dig di data collection and how to look at data wit Pandas and NumPy, we go learn how to split data well-well, and we go learn how to measure how good di model dem dey. We go learn all di important ways to prepare data, learn di best way to pick model, and we go understand how regression model like Decision Trees and Random Forests dey work. We go give you good lessons dat go make you ready to solve real problem dem. Join we now and change your work life!
Elevify advantages
Develop skills
- Learn how to handle data good-good: Load data, check am, and pick di data you want wit Pandas and NumPy.
- Learn how to split data well-well: Use cross-validation and stratified sampling.
- Learn how to measure how di model dey work: Understand MAE, MSE, and R-squared.
- Learn how to prepare data good: Fix missing data and change categorical data.
- Make di model dem work better: Tune di settings and use plenty models together.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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