AI ML Course
What will I learn?
Unlock the power of AI and machine learning for business intelligence with our well-structured AI/ML Course (Ghana). Enter into understanding customer leaving (churn), explore how to prepare data, and become good at using classification algorithms like logistic regression and decision trees. Learn how to get useful information, make models better, and give data-driven advice. This course dey be perfect for professionals wey dey look to improve their skills for data collection, model evaluation, and predicting customer leaving. E dey offer practical, top-quality learning wey you go fit do for your own time.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Master customer leaving (churn): Analyze and reduce how customer leaving dey affect business success.
Data preparation (preprocessing): Deal with missing values and scale features for better analysis.
Predictive modeling: Use logistic regression and decision trees to predict customer leaving.
Model evaluation: Check accuracy, precision, recall, and F1-score well well.
Optimize models: Use cross-validation and hyperparameter tuning to make models better.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and workload.
- Select which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You can generate additional chapters like the examples below
This is a free course, aimed at 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.