Python With Machine Learning Course
What will I learn?
Unlock the real power of Python and Machine Learning with this proper course we tailor for tech professionals like you. Dig deep into feature engineering, and learn how to scale, normalize, and handle categorical variables well-well. Level up your skills with model optimization techniques like random search and hyperparameter tuning. Check out data from UCI and Kaggle, and become proper at using algorithms like Random Forests and Decision Trees. This high-quality training dey designed for real work so you fit use am well.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Master feature engineering: Scale, normalize, and create time-based features properly.
Optimize models: Learn hyperparameter tuning and grid search techniques well-well.
Source data effectively: Use UCI and Kaggle for correct datasets.
Implement algorithms: Explore Random Forests, Decision Trees, and Linear Regression well.
Evaluate models: Use MAE, RMSE, and data splitting to know if e dey perform.
Suggested overview
Workload: between 4 and 360 hours
Before getting started, you can adjust the chapters and the workload.
- Choose which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You'll be able to create more chapters like the examples below
This is a free course, focused on personal and professional growth. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.