Data Science Machine Learning Course
What will I learn?
Open your eye to the power weh data get with our Data Science Machine Learning Lesson. E tailor-make for people weh dey work with Business Intelligence. You go learn how to build good features from data, and how to handle time-based data and data weh special to certain work. You go get more skill with fixing data, dealing with data weh lost, and turning different kinds of data into numbers. You go check machine learning algorithms like Decision Trees and Gradient Boosting. You go learn how to train model, check if e good, and put am to work so e fit help business. Make your BI work better with correct, good information.
Apoia's Unique Features
Develop skills
Enhance your practical skills in the areas listed below.
Learn how to build good features: Build features weh strong and weh fit the kind of work you dey do.
Put models to work smooth: Make sure e dey work with business process quick-quick.
Check if models good correct: Use RMSE, MAE, and check am different-different way.
Fix data good: Clean am, turn am to numbers, and handle data weh lost.
Make algorithms work better: Fine-tune am and compare how different models dey do.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify 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 it offers practical and relevant knowledge for your professional journey.