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Introduction to Machine Learning For Data Science Course
Unlock the potential of data with our 'Introduction to Machine Learning for Data Science' course, designed for Business Intelligence professionals. Delve into crucial topics such as data pre-processing, feature engineering, and model training. Gain expertise in advanced algorithms like Random Forests and Gradient Boosting for sales forecasting. Learn to fine-tune models through hyperparameter optimisation and assess their performance using metrics like MAE and RMSE. Enhance your BI skills with practical, high-quality insights that drive business success.
- Master data cleaning: Ensure accuracy by removing inconsistencies and errors.
- Develop feature engineering: Create impactful features for better model performance.
- Optimise models: Enhance accuracy with hyperparameter optimisation and algorithm comparison.
- Visualise data insights: Use visualisation tools to uncover actionable insights.
- Evaluate models: Measure success with metrics like MAE and RMSE.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the potential of data with our 'Introduction to Machine Learning for Data Science' course, designed for Business Intelligence professionals. Delve into crucial topics such as data pre-processing, feature engineering, and model training. Gain expertise in advanced algorithms like Random Forests and Gradient Boosting for sales forecasting. Learn to fine-tune models through hyperparameter optimisation and assess their performance using metrics like MAE and RMSE. Enhance your BI skills with practical, high-quality insights that drive business success.
Elevify advantages
Develop skills
- Master data cleaning: Ensure accuracy by removing inconsistencies and errors.
- Develop feature engineering: Create impactful features for better model performance.
- Optimise models: Enhance accuracy with hyperparameter optimisation and algorithm comparison.
- Visualise data insights: Use visualisation tools to uncover actionable insights.
- Evaluate models: Measure success with metrics like MAE and RMSE.
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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