Data Science Machine Learning Course
What will I learn?
Unlock the power of data with our Data Science Machine Learning Course, tailored for Business Intelligence professionals. Dive into feature engineering, mastering time-based and domain-specific strategies. Enhance your skills with data preprocessing, handling missing values, and encoding categorical variables. Explore machine learning algorithms like Decision Trees and Gradient Boosting. Learn model training, evaluation, and deployment, integrating them seamlessly into business processes. Elevate your BI expertise with practical, high-quality insights.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master feature engineering: Create impactful, domain-specific features.
Deploy models seamlessly: Integrate into business processes efficiently.
Evaluate models precisely: Use RMSE, MAE, and cross-validation techniques.
Preprocess data effectively: Clean, encode, and handle missing values.
Optimise algorithms: Tune hyperparameters and compare model performance.
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.