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Machine Learning Python Course
Open up the power of data with our Machine Learning Python Training, made for people who work with Business Intelligence. You go deep inside data to see what's there and understand it. You learn how to clean up data and get it ready. You learn to use powerful machine learning programs like linear regression and decision trees. You go learn how to create features, train models, and see how good they are. You go make your models even better by fine-tuning them. Finally, you go learn how to put your models to work and write about them so others can use them. This training will make you a better BI expert!
- Learn how to put models to work: Save, load, and write about models so they can be used easily.
- Make feature engineering better: Create new features that work together and get useful information from dates.
- Make model training the best it can be: Divide your data into training and testing sets and use numbers to see how good your model is.
- Look at data and understand it: Analyze how data is organized and load data sets using Pandas.
- Get better at cleaning up data: Make data the same size, scale it, and change categories of data in a good way.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Open up the power of data with our Machine Learning Python Training, made for people who work with Business Intelligence. You go deep inside data to see what's there and understand it. You learn how to clean up data and get it ready. You learn to use powerful machine learning programs like linear regression and decision trees. You go learn how to create features, train models, and see how good they are. You go make your models even better by fine-tuning them. Finally, you go learn how to put your models to work and write about them so others can use them. This training will make you a better BI expert!
Elevify advantages
Develop skills
- Learn how to put models to work: Save, load, and write about models so they can be used easily.
- Make feature engineering better: Create new features that work together and get useful information from dates.
- Make model training the best it can be: Divide your data into training and testing sets and use numbers to see how good your model is.
- Look at data and understand it: Analyze how data is organized and load data sets using Pandas.
- Get better at cleaning up data: Make data the same size, scale it, and change categories of data in a good way.
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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