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Data Science Machine Learning Course
Unlock the potential of data through our Data Science and Machine Learning Course, specifically designed for Business Intelligence experts in Lesotho. Delve into feature engineering, mastering time-based and industry-specific approaches. Improve your abilities in data preparation, managing incomplete data, and converting categorical variables. Investigate machine learning algorithms such as Decision Trees and Gradient Boosting. Learn model creation, assessment, and application, integrating them smoothly into business workflows. Enhance your BI skills with relevant, top-notch insights.
- Become proficient in feature engineering: Develop effective, industry-relevant features.
- Implement models seamlessly: Integrate efficiently into business workflows.
- Assess models accurately: Utilize RMSE, MAE, and cross-validation methods.
- Prepare data effectively: Clean, convert, and manage missing data.
- Refine algorithms: Adjust hyperparameters and evaluate model effectiveness.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the potential of data through our Data Science and Machine Learning Course, specifically designed for Business Intelligence experts in Lesotho. Delve into feature engineering, mastering time-based and industry-specific approaches. Improve your abilities in data preparation, managing incomplete data, and converting categorical variables. Investigate machine learning algorithms such as Decision Trees and Gradient Boosting. Learn model creation, assessment, and application, integrating them smoothly into business workflows. Enhance your BI skills with relevant, top-notch insights.
Elevify advantages
Develop skills
- Become proficient in feature engineering: Develop effective, industry-relevant features.
- Implement models seamlessly: Integrate efficiently into business workflows.
- Assess models accurately: Utilize RMSE, MAE, and cross-validation methods.
- Prepare data effectively: Clean, convert, and manage missing data.
- Refine algorithms: Adjust hyperparameters and evaluate model effectiveness.
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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