Introduction to Machine Learning For Data Science Course
What will I learn?
Unlock di power weh data have wid wi 'Introduction to Machine Learning fi Data Science' course, tailor-made fi Business Intelligence professionals. Dive deep inna essential topics like data pre-processing, feature engineering, and model training. Master advanced algorithms dem like Random Forests and Gradient Boosting fi predict sales. Learn how fi optimize models through hyperparameter tuning and evaluate dem using metrics like MAE and RMSE. Boost yuh BI skills wid practical, high-quality insights weh drive business success.
Apoia's Unique Offerings
Develop skills
Enhance the development of the practical skills listed below
Master data cleaning: Mek sure di data accurate by tekkin out inconsistencies and errors.
Develop feature engineering: Create powerful features fi mek di model perform betta.
Optimize models: Improve accuracy wid hyperparameter tuning and comparing different algorithms.
Visualize data insights: Use visualization tools fi find actionable insights.
Evaluate models: Measure how successful di model is wid metrics like MAE and RMSE.
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.