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Machine Learning Python Course
Open the door to the power of data with our Machine Learning Python Course, specially made for Business Intelligence people like you. You go chop data exploration and analysis well well, learn how to prepare data proper, and use the power of machine learning algorithms like linear regression and decision trees. You go learn feature engineering, how to train and test your models, and make them perform better by tuning them. We go end with how to put your models to work and write about them well, so your skills dey ready for the real world. Join now so you fit boost your BI skills!
- Master how to deploy models: Save, load, and write about models so you fit use them easily.
- Make your feature engineering skills better: Create interaction features and find hidden things inside dates.
- Make your model training better: Use train-test splits and check your models with different measurements.
- Explore data well well: Analyze how data dey arrange and load datasets using Pandas.
- Sharpen your preprocessing skills: Normalize, scale, and encode categorical data fast fast.

flexible workload of 4 to 360h
certificate recognized by the MEC
What will I learn?
Open the door to the power of data with our Machine Learning Python Course, specially made for Business Intelligence people like you. You go chop data exploration and analysis well well, learn how to prepare data proper, and use the power of machine learning algorithms like linear regression and decision trees. You go learn feature engineering, how to train and test your models, and make them perform better by tuning them. We go end with how to put your models to work and write about them well, so your skills dey ready for the real world. Join now so you fit boost your BI skills!
Elevify advantages
Develop skills
- Master how to deploy models: Save, load, and write about models so you fit use them easily.
- Make your feature engineering skills better: Create interaction features and find hidden things inside dates.
- Make your model training better: Use train-test splits and check your models with different measurements.
- Explore data well well: Analyze how data dey arrange and load datasets using Pandas.
- Sharpen your preprocessing skills: Normalize, scale, and encode categorical data fast fast.
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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