Data Science Machine Learning Course
What will I learn?
Unlock the power wey data get with our Data Science and Machine Learning Training, wey we tailor especially for people wey dey work with Business Intelligence. Enter inside feature engineering, learn how to use time-based and domain-specific strategies well well. Make your skills strong with data preprocessing, sabi how to handle data wey dey miss, and how to encode categorical variables. Explore machine learning algorithms like Decision Trees and Gradient Boosting. Learn how to train model, evaluate am, and put am to work, so e fit blend well well with business processes. Make your BI skills better with correct insights wey get quality.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Master feature engineering: Create correct features wey go impact your work based on the domain.
Deploy models seamlessly: Put am inside business processes make e dey work fine.
Evaluate models precisely: Use RMSE, MAE, and cross-validation techniques well well.
Preprocess data effectively: Clean am, encode am, and handle values wey dey miss.
Optimize algorithms: Tune hyperparameters and compare how the models dey perform.
Suggested overview
Workload: between 4 and 360 hours
Before getting started, you can adjust the chapters and the workload.
- Choose which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You'll be able to create more chapters like the examples below
This is a free course, focused on personal and professional growth. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.