Free course
US$0.00
Premium course
US$30.90
AI ML Course
Unlock the potential of AI and Machine Learning in business intelligence with our comprehensive AI/ML Course. Get a deep understanding of customer churn, delve into data preprocessing techniques, and master classification algorithms such as logistic regression and decision trees. Learn to extract actionable insights, optimise models, and formulate data-driven recommendations. This course is ideal for professionals looking to improve their skills in data collection, model evaluation, and churn prediction, and offers practical, high-quality learning at your own convenience.
- Master customer churn: Analyse and minimise the impact of customer churn on business success.
- Data preprocessing: Manage missing values and scale features for optimal analysis.
- Predictive modelling: Use logistic regression and decision trees for churn prediction.
- Model evaluation: Effectively assess accuracy, precision, recall, and F1-score.
- Optimise models: Apply cross-validation and hyperparameter tuning for improved results.

flexible workload from 4 to 360h
certificate recognized by the MEC
What will I learn?
Unlock the potential of AI and Machine Learning in business intelligence with our comprehensive AI/ML Course. Get a deep understanding of customer churn, delve into data preprocessing techniques, and master classification algorithms such as logistic regression and decision trees. Learn to extract actionable insights, optimise models, and formulate data-driven recommendations. This course is ideal for professionals looking to improve their skills in data collection, model evaluation, and churn prediction, and offers practical, high-quality learning at your own convenience.
Elevify advantages
Develop skills
- Master customer churn: Analyse and minimise the impact of customer churn on business success.
- Data preprocessing: Manage missing values and scale features for optimal analysis.
- Predictive modelling: Use logistic regression and decision trees for churn prediction.
- Model evaluation: Effectively assess accuracy, precision, recall, and F1-score.
- Optimise models: Apply cross-validation and hyperparameter tuning for improved results.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course duration?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course