Data Science Machine Learning Course
What will I learn?
Open eye to the power wey data get with our Data Science and Machine Learning Training, wey dem tailor make e fit Business Intelligence professionals. Enter inside feature engineering, and sabi time-based and domain-specific strategies well well. Boost your skills with data preprocessing, handle missing values like oga, and encode categorical variables like correct guy. Explore machine learning algorithms like Decision Trees and Gradient Boosting. Learn how to train model, evaluate am, and deploy am, so you fit join am with business processes without stress. Carry your BI expertise to another level with correct, high-quality insights.
Apoia's Unique Features
Develop skills
Enhance your practical skills as listed below
Master feature engineering: Create features wey dey ginger and wey make sense for your domain.
Deploy models seamlessly: Join am with business processes sharp sharp.
Evaluate models precisely: Use RMSE, MAE, and cross-validation techniques to check am well.
Preprocess data effectively: Clean am, encode am, and handle missing values like a boss.
Optimize algorithms: Tune hyperparameters and compare how the model dey perform.
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.