Python With Machine Learning Course
What will I learn?
Unlock the power of Python and machine learning with our comprehensive course designed for tech professionals in Namibia. You'll dive into feature engineering, mastering scaling, normalisation, and how to handle categorical variables. Improve your skills with model optimisation techniques like random search and hyperparameter tuning. Explore data sources from UCI and Kaggle, and become proficient in algorithms like random forests and decision trees. Get top-notch, practical training designed for real-world use.
Apoia's Unique Features
Develop skills
Enhance the growth of the practical skills listed below
Master feature engineering: Scale, normalise, and create time-based features.
Optimise models: Learn hyperparameter tuning and grid search techniques.
Source data effectively: Use UCI and Kaggle for relevant datasets.
Implement algorithms: Explore Random Forests, Decision Trees, and Linear Regression.
Evaluate models: Use MAE, RMSE, and data splitting for performance analysis.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Select which chapter to commence with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You’ll be able to generate additional chapters similar to the examples below
This is a free course focused on personal and professional growth. It does not equate to a technical, undergraduate, or postgraduate qualification, but offers practical and relevant knowledge for your professional journey.