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Python With Machine Learning Course
Unlock the real power of Python and Machine Learning with this proper course we tailor for tech professionals like you. Dig deep into feature engineering, and learn how to scale, normalize, and handle categorical variables well-well. Level up your skills with model optimization techniques like random search and hyperparameter tuning. Check out data from UCI and Kaggle, and become proper at using algorithms like Random Forests and Decision Trees. This high-quality training dey designed for real work so you fit use am well.
- Master feature engineering: Scale, normalize, and create time-based features properly.
- Optimize models: Learn hyperparameter tuning and grid search techniques well-well.
- Source data effectively: Use UCI and Kaggle for correct datasets.
- Implement algorithms: Explore Random Forests, Decision Trees, and Linear Regression well.
- Evaluate models: Use MAE, RMSE, and data splitting to know if e dey perform.

flexible workload from 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the real power of Python and Machine Learning with this proper course we tailor for tech professionals like you. Dig deep into feature engineering, and learn how to scale, normalize, and handle categorical variables well-well. Level up your skills with model optimization techniques like random search and hyperparameter tuning. Check out data from UCI and Kaggle, and become proper at using algorithms like Random Forests and Decision Trees. This high-quality training dey designed for real work so you fit use am well.
Elevify advantages
Develop skills
- Master feature engineering: Scale, normalize, and create time-based features properly.
- Optimize models: Learn hyperparameter tuning and grid search techniques well-well.
- Source data effectively: Use UCI and Kaggle for correct datasets.
- Implement algorithms: Explore Random Forests, Decision Trees, and Linear Regression well.
- Evaluate models: Use MAE, RMSE, and data splitting to know if e dey perform.
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 workloadWhat our students say
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