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AI ML Course
Unlock the power of AI and machine learning for business intelligence with our comprehensive AI/ML Course. Learn to understand customer churn, explore data preprocessing techniques, and master classification algorithms like logistic regression and decision trees. You'll learn how to get actionable insights, optimise models, and make data-driven recommendations. This course is perfect for professionals looking to improve their skills in data collection, model evaluation, and churn prediction. It offers practical, high-quality learning that you can do at your own time, lah.
- Master customer churn: Analyse and reduce the impact of churn on business success, hor.
- Data preprocessing: Handle missing values and scale features properly for best analysis.
- Predictive modelling: Use logistic regression and decision trees to predict churn.
- Model evaluation: Assess accuracy, precision, recall, and F1-score effectively, you know.
- Optimise models: Apply cross-validation and hyperparameter tuning to get better results, can?

4 to 360 hours of flexible workload
certificate recognized by the Ministry of Education
What Will I Learn?
Unlock the power of AI and machine learning for business intelligence with our comprehensive AI/ML Course. Learn to understand customer churn, explore data preprocessing techniques, and master classification algorithms like logistic regression and decision trees. You'll learn how to get actionable insights, optimise models, and make data-driven recommendations. This course is perfect for professionals looking to improve their skills in data collection, model evaluation, and churn prediction. It offers practical, high-quality learning that you can do at your own time, lah.
Elevify Advantages
Develop Skills
- Master customer churn: Analyse and reduce the impact of churn on business success, hor.
- Data preprocessing: Handle missing values and scale features properly for best analysis.
- Predictive modelling: Use logistic regression and decision trees to predict churn.
- Model evaluation: Assess accuracy, precision, recall, and F1-score effectively, you know.
- Optimise models: Apply cross-validation and hyperparameter tuning to get better results, can?
Suggested Summary
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