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AI ML Course
Unlock di power of AI and machine learning for inside business intelligence with our correct AI/ML Course. Enter inside to understand customer wey dey comot (churn), check data wey dem prepare, and sabi classification algorithms well-well like logistic regression and decision trees. Learn how to get correct understanding wey you fit use, make models better, and give advice wey data support. E perfect for professionals wey wan make dem sabi data collection, model evaluation, and churn prediction well-well. Dis course go give you correct, high-quality learning wey you go do for your own time.
- Sabi customer wey dey comot (churn) well-well: Analyze am and reduce how e dey affect business success.
- Data preprocessing: Handle data wey dey miss and scale features so you fit analyze am well.
- Predictive modeling: Use logistic regression and decision trees to predict customer wey dey comot.
- Model evaluation: Check accuracy, precision, recall, and F1-score well-well.
- Optimize models: Use cross-validation and hyperparameter tuning to get better results.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock di power of AI and machine learning for inside business intelligence with our correct AI/ML Course. Enter inside to understand customer wey dey comot (churn), check data wey dem prepare, and sabi classification algorithms well-well like logistic regression and decision trees. Learn how to get correct understanding wey you fit use, make models better, and give advice wey data support. E perfect for professionals wey wan make dem sabi data collection, model evaluation, and churn prediction well-well. Dis course go give you correct, high-quality learning wey you go do for your own time.
Elevify advantages
Develop skills
- Sabi customer wey dey comot (churn) well-well: Analyze am and reduce how e dey affect business success.
- Data preprocessing: Handle data wey dey miss and scale features so you fit analyze am well.
- Predictive modeling: Use logistic regression and decision trees to predict customer wey dey comot.
- 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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