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Python With Machine Learning Course
Unlock the potential of Python and machine learning with our comprehensive course, designed for tech professionals. Delve into feature engineering, mastering scaling, normalisation, and handling categorical variables. Boost 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. Enhance your expertise with practical, high-quality training, tailored 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: Utilise 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 the MEC
What will I learn?
Unlock the potential of Python and machine learning with our comprehensive course, designed for tech professionals. Delve into feature engineering, mastering scaling, normalisation, and handling categorical variables. Boost 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. Enhance your expertise with practical, high-quality training, tailored 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: Utilise 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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