Python With Machine Learning Course
What will I learn?
Unlock the potential of Python and machine learning with our comprehensive course, designed for tech professionals. Delve into feature engineering, mastering scaling, normalisation, and handling categorical variables. Boost your skills with model optimisation techniques like random search and hyperparameter tuning. Explore data sources from UCI and Kaggle, and become proficient in algorithms such as random forests and decision trees. Enhance your expertise with practical, high-quality training, tailored for real-world application.
Apoia's Advantages
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: Utilise 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.