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Python With Machine Learning Course
Open di power of Python and machine learning wit dis full training wey dem make special for technology people. Go deep inside how to prepare data features, learn how to scale, normalize, and handle data wey dem group. Make ya skills strong wit model optimization ways like random search and fine-tune di settings. Check out data from UCI and Kaggle, and sabi how to use algorithms like random forests and decision trees. Make ya knowledge high wit training wey dey useful and good, wey dem design for real work.
- Sabi how to prepare data features well-well: Scale, normalize, and make features based on time.
- Make ya models work betta: Learn how to fine-tune di settings and use grid search ways.
- Find data quick-quick: Use UCI and Kaggle to find data wey concern ya work.
- Use algorithms: Check out Random Forests, Decision Trees, and Linear Regression.
- Judge ya models: Use MAE, RMSE, and split data to see how e dey perform.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Open di power of Python and machine learning wit dis full training wey dem make special for technology people. Go deep inside how to prepare data features, learn how to scale, normalize, and handle data wey dem group. Make ya skills strong wit model optimization ways like random search and fine-tune di settings. Check out data from UCI and Kaggle, and sabi how to use algorithms like random forests and decision trees. Make ya knowledge high wit training wey dey useful and good, wey dem design for real work.
Elevify advantages
Develop skills
- Sabi how to prepare data features well-well: Scale, normalize, and make features based on time.
- Make ya models work betta: Learn how to fine-tune di settings and use grid search ways.
- Find data quick-quick: Use UCI and Kaggle to find data wey concern ya work.
- Use algorithms: Check out Random Forests, Decision Trees, and Linear Regression.
- Judge ya models: Use MAE, RMSE, and split data to see how 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 workload.What our students say
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