Data Science Machine Learning Course
What will I learn?
Unlock the power of data with our Data Science Machine Learning Course, designed for Business Intelligence professionals like you. Explore feature engineering, mastering techniques for time-based and specific business areas. Improve your skills in data preprocessing, including how to handle missing data and encode categories. Discover machine learning algorithms like Decision Trees and Gradient Boosting. Learn model training, evaluation, and how to deploy them, integrating everything smoothly into business operations. Level up your BI skills with practical and valuable insights.
Apoia's Unique Features
Develop skills
Strengthen your practical skills in the areas listed below.
Master feature engineering: Create effective features that are specific to your business.
Deploy models seamlessly: Integrate them into business operations efficiently.
Evaluate models precisely: Use metrics like RMSE, MAE, and cross-validation.
Preprocess data effectively: Clean, encode, and manage missing data properly.
Optimize algorithms: Fine-tune settings and compare how well models 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.