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Python With Machine Learning Course
Unleash the power of Python and machine learning with our comprehensive course tailored for technology professionals. Learn feature engineering, mastering scaling, normalisation, and handling 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 such as random forests and decision trees. Level up your expertise with practical, high-quality training designed for real-world application.
- 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.

4 to 360 hours of flexible workload
certificate recognized by the Ministry of Education
What Will I Learn?
Unleash the power of Python and machine learning with our comprehensive course tailored for technology professionals. Learn feature engineering, mastering scaling, normalisation, and handling 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 such as random forests and decision trees. Level up your expertise with practical, high-quality training designed for real-world application.
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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