Python With Machine Learning Course
What will I learn?
Tek on di power a Python an' machine learning wid wi course weh set up speshal fi tech people. Dive deep inna feature engineering, master scaling, normalization, an' how fi handle categorical variable dem. Mek yu skills sharper wid model optimization style like random search an' hyperparameter tuning. Explore data weh come fram UCI an' Kaggle, an' get good knowledge inna algorithm like random forests an' decision trees. Boost yu expertise wid practical, top-quality training weh design fi real-world work.
Apoia's Unique Offerings
Develop skills
Enhance the development of the practical skills listed below
Master feature engineering: Scale, normalize, an' mek time-based feature dem.
Optimize model dem: Learn hyperparameter tuning an' grid search technique dem.
Find data good: Use UCI an' Kaggle fi data weh connect.
Put algorithm dem inna action: Explore Random Forests, Decision Trees, an' Linear Regression.
Judge model dem: Use MAE, RMSE, an' data splitting fi see how well dem a perform.
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'll 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.