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Python With Machine Learning Course
Unlock the power of Python and machine learning with our comprehensive course designed for tech professionals in Namibia. You'll dive into feature engineering, mastering scaling, normalisation, and how to handle categorical variables. Improve your skills with model optimisation techniques like random search and hyperparameter tuning. Explore data sources from UCI and Kaggle, and become proficient in algorithms like random forests and decision trees. Get top-notch, practical training designed for real-world use.
- Master feature engineering: Scale, normalise, and create time-based features.
- Optimise models: Learn hyperparameter tuning and grid search techniques.
- Source data effectively: Use UCI and Kaggle for relevant datasets.
- Implement algorithms: Explore Random Forests, Decision Trees, and Linear Regression.
- Evaluate models: Use MAE, RMSE, and data splitting for performance analysis.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of Python and machine learning with our comprehensive course designed for tech professionals in Namibia. You'll dive into feature engineering, mastering scaling, normalisation, and how to handle categorical variables. Improve your skills with model optimisation techniques like random search and hyperparameter tuning. Explore data sources from UCI and Kaggle, and become proficient in algorithms like random forests and decision trees. Get top-notch, practical training designed for real-world use.
Elevify advantages
Develop skills
- Master feature engineering: Scale, normalise, and create time-based features.
- Optimise models: Learn hyperparameter tuning and grid search techniques.
- Source data effectively: Use UCI and Kaggle for relevant datasets.
- Implement algorithms: Explore Random Forests, Decision Trees, and Linear Regression.
- Evaluate models: Use MAE, RMSE, and data splitting for performance analysis.
Suggested summary
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