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AI ML Course
Unlock the potential of AI and machine learning in business intelligence with our comprehensive AI ML Course. Delve into understanding customer churn, explore data pre-processing techniques, and master classification algorithms such as logistic regression and decision trees. Learn to derive actionable insights, optimise models, and provide data-driven recommendations. Ideal for professionals looking to enhance their skills in data collection, model evaluation, and churn prediction, this course provides practical, high-quality learning at your own pace.
- Master customer churn: Analyse and mitigate the impact of customer churn on business success.
- Data pre-processing: Handle missing values and scale features for effective analysis.
- Predictive modelling: Utilize logistic regression and decision trees for churn prediction.
- Model evaluation: Assess accuracy, precision, recall, and F1-score effectively.
- Optimise models: Apply cross-validation and hyperparameter tuning for improved results.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the potential of AI and machine learning in business intelligence with our comprehensive AI ML Course. Delve into understanding customer churn, explore data pre-processing techniques, and master classification algorithms such as logistic regression and decision trees. Learn to derive actionable insights, optimise models, and provide data-driven recommendations. Ideal for professionals looking to enhance their skills in data collection, model evaluation, and churn prediction, this course provides practical, high-quality learning at your own pace.
Elevify advantages
Develop skills
- Master customer churn: Analyse and mitigate the impact of customer churn on business success.
- Data pre-processing: Handle missing values and scale features for effective analysis.
- Predictive modelling: Utilize logistic regression and decision trees for churn prediction.
- Model evaluation: Assess accuracy, precision, recall, and F1-score effectively.
- Optimise models: Apply cross-validation and hyperparameter tuning for improved results.
Suggested summary
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.What our students say
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