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AI And Machine Learning Course
Level up your Business Intelligence career with our AI and Machine Learning Course. Learn how to prep your data properly, including formatting, dealing with missing values, and handling outliers. Dive into predictive algorithms like linear regression, decision trees, and more advanced methods like random forests. Tune your models with ensemble methods and hyperparameter tuning. Learn cross-validation, data splitting, and how to measure performance. Improve your skills in understanding results and writing good reports. Sign up now for learning that's straight to the point and top-notch, made for BI professionals like you.
- Master data cleaning: Handle missing values and outliers like a pro.
- Use ML algorithms: Apply linear regression and decision trees effectively, can or not?
- Tune models: Make them perform better with hyperparameter tuning and ensemble methods.
- See how accurate your models are: Use cross-validation and performance metrics like MAE and RMSE.
- Report insights: Write clear and convincing reports and understand model predictions with confidence.
4 to 360 hours of flexible workload
certificate recognized by the Ministry of Education
What Will I Learn?
Level up your Business Intelligence career with our AI and Machine Learning Course. Learn how to prep your data properly, including formatting, dealing with missing values, and handling outliers. Dive into predictive algorithms like linear regression, decision trees, and more advanced methods like random forests. Tune your models with ensemble methods and hyperparameter tuning. Learn cross-validation, data splitting, and how to measure performance. Improve your skills in understanding results and writing good reports. Sign up now for learning that's straight to the point and top-notch, made for BI professionals like you.
Elevify Advantages
Develop Skills
- Master data cleaning: Handle missing values and outliers like a pro.
- Use ML algorithms: Apply linear regression and decision trees effectively, can or not?
- Tune models: Make them perform better with hyperparameter tuning and ensemble methods.
- See how accurate your models are: Use cross-validation and performance metrics like MAE and RMSE.
- Report insights: Write clear and convincing reports and understand model predictions with confidence.
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 say
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