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Machine Learning For Business Course
Unlock the power of data with our Machine Learning for Business Course, designed for business intelligence professionals. Get stuck in to data preprocessing, become a master at Exploratory Data Analysis, and sharpen your skills in feature engineering. Learn how to train and evaluate machine learning models, choose the best algorithms for customer segmentation and sales forecasting, and turn insights into strategies you can actually use. With content that is straight to the point and of top quality, this course will get you ready to make decisions based on data and boost your impact on the business.
- Master data visualisation: Create visuals that really show what the data is saying.
- Train ML models: Develop and improve machine learning algorithms.
- Conduct EDA: Analyse how data is spread out and transaction patterns.
- Engineer features: Design features that can predict things for business insights.
- Select models: Choose the best models for segmentation and forecasting.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of data with our Machine Learning for Business Course, designed for business intelligence professionals. Get stuck in to data preprocessing, become a master at Exploratory Data Analysis, and sharpen your skills in feature engineering. Learn how to train and evaluate machine learning models, choose the best algorithms for customer segmentation and sales forecasting, and turn insights into strategies you can actually use. With content that is straight to the point and of top quality, this course will get you ready to make decisions based on data and boost your impact on the business.
Elevify advantages
Develop skills
- Master data visualisation: Create visuals that really show what the data is saying.
- Train ML models: Develop and improve machine learning algorithms.
- Conduct EDA: Analyse how data is spread out and transaction patterns.
- Engineer features: Design features that can predict things for business insights.
- Select models: Choose the best models for segmentation and forecasting.
Suggested summary
Before starting, you can change the chapters and 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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