Python With Machine Learning Course
What will I learn?
Unlock the power of Python and machine learning with our comprehensive course, custom-made for technology professionals like yourself. Get stuck into feature engineering, mastering scaling, normalisation, and dealing with categorical variables. Sharpen your skills with model optimisation techniques like random search and hyperparameter tuning. Explore data sources from UCI and Kaggle, and become a pro with algorithms such as random forests and decision trees. Take your expertise to the next level with practical, top-notch training designed for real-world application.
Apoia's Differentials
Develop skills
Strengthen the development 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: Make use of 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 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.