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AI ML Course
Unlock the power of AI and machine learning in business intelligence with our comprehensive AI ML Course. Dive into understanding customer churn, explore data preprocessing, and master classification algorithms like logistic regression and decision trees. Learn to derive actionable insights, optimise models, and make data-driven recommendations. Perfect for professionals seeking to enhance their skills in data collection, model evaluation, and churn prediction, this course offers practical, high-quality learning at your own pace.
- Master customer churn: Analyse and mitigate churn impact on business success.
- Data preprocessing: Handle missing values and scale features for optimal analysis.
- Predictive modelling: Use 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 better results.

4 to 360 hours flexible workload
certificate recognised by the NZQA
What will I learn?
Unlock the power of AI and machine learning in business intelligence with our comprehensive AI ML Course. Dive into understanding customer churn, explore data preprocessing, and master classification algorithms like logistic regression and decision trees. Learn to derive actionable insights, optimise models, and make data-driven recommendations. Perfect for professionals seeking to enhance their skills in data collection, model evaluation, and churn prediction, this course offers practical, high-quality learning at your own pace.
Elevify advantages
Develop skills
- Master customer churn: Analyse and mitigate churn impact on business success.
- Data preprocessing: Handle missing values and scale features for optimal analysis.
- Predictive modelling: Use 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 better 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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