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Python With Machine Learning Course
Unlock the power of Python and machine learning with our comprehensive course tailored for technology professionals. Delve into feature engineering, mastering scaling, normalisation, and handling categorical variables. Enhance your skills with model optimisation techniques like random search and hyperparameter tuning. Explore data sources from UCI and Kaggle, and gain proficiency in algorithms such as random forests and decision trees. Elevate 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: 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.

4 to 360 hours flexible workload
certificate recognised by MEC
What will I learn?
Unlock the power of Python and machine learning with our comprehensive course tailored for technology professionals. Delve into feature engineering, mastering scaling, normalisation, and handling categorical variables. Enhance your skills with model optimisation techniques like random search and hyperparameter tuning. Explore data sources from UCI and Kaggle, and gain proficiency in algorithms such as random forests and decision trees. Elevate 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: 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
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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