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AI ML Course
Unlock the power of AI and machine learning for business intelligence with our well-packed AI/ML Course. Dive deep into understanding why customers dey leave, explore how to clean and prepare data, and master classification algorithms like logistic regression and decision trees. Learn how to get real results wey you fit use, fine-tune models, and make recommendations based on data. E perfect for professionals wey wan sharpen their skills for collecting data, checking how good model dey, and predicting customer wey go leave. This course dey offer practical, high-quality learning wey you fit do for your own time.
- Master customer churn: Analyze and reduce the bad effect wey customers wey dey leave get on the business.
- Data preprocessing: Handle empty spaces for data and arrange features so the analysis go dey on point.
- Predictive modeling: Use logistic regression and decision trees to predict customers wey go leave.
- Model evaluation: Check accuracy, precision, recall, and F1-score well well.
- Optimize models: Use cross-validation and hyperparameter tuning to get better results.

flexible workload from 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the power of AI and machine learning for business intelligence with our well-packed AI/ML Course. Dive deep into understanding why customers dey leave, explore how to clean and prepare data, and master classification algorithms like logistic regression and decision trees. Learn how to get real results wey you fit use, fine-tune models, and make recommendations based on data. E perfect for professionals wey wan sharpen their skills for collecting data, checking how good model dey, and predicting customer wey go leave. This course dey offer practical, high-quality learning wey you fit do for your own time.
Elevify advantages
Develop skills
- Master customer churn: Analyze and reduce the bad effect wey customers wey dey leave get on the business.
- Data preprocessing: Handle empty spaces for data and arrange features so the analysis go dey on point.
- Predictive modeling: Use logistic regression and decision trees to predict customers wey go leave.
- Model evaluation: Check accuracy, precision, recall, and F1-score well well.
- Optimize models: Use cross-validation and hyperparameter tuning to get better results.
Suggested summary
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