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Introduction to Machine Learning for Data Science Course
Unlock the power of data with our "Introduction to Machine Learning for Data Science" course, tailored for Business Intelligence professionals. Dive into essential topics like data preprocessing, feature engineering, and model training. Master advanced algorithms such as Random Forests and Gradient Boosting for sales prediction. Learn to optimize models through hyperparameter tuning and evaluate them using metrics like MAE and RMSE. Elevate 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.
- Optimize models: Enhance accuracy with hyperparameter tuning and algorithm comparison.
- Visualize data insights: Use visualization tools to uncover actionable insights.
- Evaluate models: Measure success with metrics like MAE and RMSE.

4 to 360 hours of flexible workload
certificate recognized by MEC
What Will I Learn?
Unlock the power of data with our "Introduction to Machine Learning for Data Science" course, tailored for Business Intelligence professionals. Dive into essential topics like data preprocessing, feature engineering, and model training. Master advanced algorithms such as Random Forests and Gradient Boosting for sales prediction. Learn to optimize models through hyperparameter tuning and evaluate them using metrics like MAE and RMSE. Elevate your BI skills with practical, high-quality insights that drive business success.
Elevify Differentials
Develop Skills
- Master data cleaning: Ensure accuracy by removing inconsistencies and errors.
- Develop feature engineering: Create impactful features for better model performance.
- Optimize models: Enhance accuracy with hyperparameter tuning and algorithm comparison.
- Visualize data insights: Use visualization 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 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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