Data Science Machine Learning Course
What will I learn?
Open up the power wey dey inside data with our Data Science and Machine Learning Course, eyo etungidwa for Business Intelligence proper. Enter inside feature engineering, learn well time-based and area-specific ways of doing things. Make your skills strong with data cleaning, dealing with data wey miss, and changing categorical variables into numbers. Learn machine learning things like Decision Trees and Gradient Boosting. Learn how to train models, check if them good, and put them to work, connecting them well into how business dey go. Lift up your BI knowledge with real, quality things wey you go learn.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Become master for feature engineering: Make features wey get power, wey dey fit the area of work.
Put models to work smoothly: Connect them into how business dey go without problem.
Check models well-well: Use RMSE, MAE, and cross-validation to see if them good.
Clean data well: Wash it, change it, and deal with data wey no dey.
Make algorithms work best: Tune the settings and compare how the models dey do.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.