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AI ML Course
Unleash di power of AI and machine learning inna business intelligence wid wi comprehensive AI ML Course. Dive deep inna understanding customer churn, explore data preprocessing, and master classification algorithms like logistic regression and decision trees. Learn fi derive actionable insights, optimize models dem, and mek data-driven recommendations. Perfect fi professionals weh a look fi enhance dem skills inna data collection, model evaluation, and churn prediction. Dis course offer practical, high-quality learning weh yuh can do a yuh owna pace.
- Master customer churn: Analyze and lessen di impact weh churn have pon business success.
- Data preprocessing: Handle missing values dem and scale features fi optimal analysis.
- Predictive modeling: Use logistic regression and decision trees fi predict churn.
- Model evaluation: Assess accuracy, precision, recall, and F1-score properly.
- Optimize models: Apply cross-validation and hyperparameter tuning fi get betta results.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Unleash di power of AI and machine learning inna business intelligence wid wi comprehensive AI ML Course. Dive deep inna understanding customer churn, explore data preprocessing, and master classification algorithms like logistic regression and decision trees. Learn fi derive actionable insights, optimize models dem, and mek data-driven recommendations. Perfect fi professionals weh a look fi enhance dem skills inna data collection, model evaluation, and churn prediction. Dis course offer practical, high-quality learning weh yuh can do a yuh owna pace.
Elevify advantages
Develop skills
- Master customer churn: Analyze and lessen di impact weh churn have pon business success.
- Data preprocessing: Handle missing values dem and scale features fi optimal analysis.
- Predictive modeling: Use logistic regression and decision trees fi predict churn.
- Model evaluation: Assess accuracy, precision, recall, and F1-score properly.
- Optimize models: Apply cross-validation and hyperparameter tuning fi get betta 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 are saying
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