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Data Science Machine Learning Course
Unlock di power weh data have wid wi Data Science Machine Learning Course, tailor-make fi Business Intelligence pros dem. Dive deep inna feature engineering, an master time-base an domain-specific strategy dem. Mek yuh skills sharper wid data preprocessing, sort out missing values, an encode categorical variables. Explore machine learning algorithm dem like Decision Trees an Gradient Boosting. Learn how fi train model, evaluate dem, an deploy dem, puttin' dem right eena business process. Mek yuh BI knowledge jump up wid real-world insight weh top-notch.
- Master feature engineering: Create feature weh powerful an spot-on fi di domain.
- Deploy model dem smooth: Put dem eena business process quick an easy.
- Evaluate model dem sharp: Use RMSE, MAE, an cross-validation technique dem.
- Preprocess data good-good: Clean it up, encode it, an sort out missing values.
- Optimize algorithm dem: Tune di hyperparameters an compare how di model dem perform.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Unlock di power weh data have wid wi Data Science Machine Learning Course, tailor-make fi Business Intelligence pros dem. Dive deep inna feature engineering, an master time-base an domain-specific strategy dem. Mek yuh skills sharper wid data preprocessing, sort out missing values, an encode categorical variables. Explore machine learning algorithm dem like Decision Trees an Gradient Boosting. Learn how fi train model, evaluate dem, an deploy dem, puttin' dem right eena business process. Mek yuh BI knowledge jump up wid real-world insight weh top-notch.
Elevify advantages
Develop skills
- Master feature engineering: Create feature weh powerful an spot-on fi di domain.
- Deploy model dem smooth: Put dem eena business process quick an easy.
- Evaluate model dem sharp: Use RMSE, MAE, an cross-validation technique dem.
- Preprocess data good-good: Clean it up, encode it, an sort out missing values.
- Optimize algorithm dem: Tune di hyperparameters an compare how di model dem perform.
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 are saying
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