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AI Machine Learning Course
Boost your Business Intelligence skills with our AI Machine Learning Course, specifically crafted for professionals looking to make the most of data-driven insights. Become proficient in data loading, cleaning, and exploratory analysis to get datasets ready for serious work. Delve into feature engineering and model training using decision trees, random forests, and gradient boosting. Learn how to evaluate models using regression metrics and cross-validation. Finally, turn those data insights into actionable business strategies and share what you've found in a clear and effective way. Join now and take your analytical skills to the next level.
- Master data cleaning: Improve the quality of your data for spot-on analysis.
- Conduct exploratory analysis: Dig out valuable insights from complex datasets.
- Implement feature engineering: Fine-tune your model's performance with the most important features.
- Evaluate models effectively: Pick the best model using solid metrics.
- Translate insights to strategy: Make business decisions based on data-driven insights.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Boost your Business Intelligence skills with our AI Machine Learning Course, specifically crafted for professionals looking to make the most of data-driven insights. Become proficient in data loading, cleaning, and exploratory analysis to get datasets ready for serious work. Delve into feature engineering and model training using decision trees, random forests, and gradient boosting. Learn how to evaluate models using regression metrics and cross-validation. Finally, turn those data insights into actionable business strategies and share what you've found in a clear and effective way. Join now and take your analytical skills to the next level.
Elevify advantages
Develop skills
- Master data cleaning: Improve the quality of your data for spot-on analysis.
- Conduct exploratory analysis: Dig out valuable insights from complex datasets.
- Implement feature engineering: Fine-tune your model's performance with the most important features.
- Evaluate models effectively: Pick the best model using solid metrics.
- Translate insights to strategy: Make business decisions based on data-driven insights.
Suggested summary
Before starting, you can change the chapters and 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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