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Python With Machine Learning Course
Unlock di power wey Python and machine learning get with wi full training wey tailor-made for technology people dem. Dig deep inside feature engineering, learn how to scale, normalize, and manage categorical variables dem. Mek yu skill dem strong with model optimization tecniques like random search and hyperparameter tuning. Check out data wey come from UCI and Kaggle, and sabi how to use algorithms like random forests and decision trees. Mek yu sabi pass wit practical, high-quality training wey dem design for real work application.
- Sabi feature engineering well well: Scale, normalize, and create time-based features dem.
- Mek model dem correct: Learn hyperparameter tuning and grid search tecniques dem.
- Find data quick quick: Use UCI and Kaggle for data wey concern yu.
- Put algorithms dem for work: Check out Random Forests, Decision Trees, and Linear Regression.
- Check how model dem dey do: Use MAE, RMSE, and data splitting for performance analysis.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock di power wey Python and machine learning get with wi full training wey tailor-made for technology people dem. Dig deep inside feature engineering, learn how to scale, normalize, and manage categorical variables dem. Mek yu skill dem strong with model optimization tecniques like random search and hyperparameter tuning. Check out data wey come from UCI and Kaggle, and sabi how to use algorithms like random forests and decision trees. Mek yu sabi pass wit practical, high-quality training wey dem design for real work application.
Elevify advantages
Develop skills
- Sabi feature engineering well well: Scale, normalize, and create time-based features dem.
- Mek model dem correct: Learn hyperparameter tuning and grid search tecniques dem.
- Find data quick quick: Use UCI and Kaggle for data wey concern yu.
- Put algorithms dem for work: Check out Random Forests, Decision Trees, and Linear Regression.
- Check how model dem dey do: Use MAE, RMSE, and data splitting for performance analysis.
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