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Introduction to Machine Learning For Data Science Course

Introduction to Machine Learning For Data Science Course
flexible workload of 4 to 360h
certificate recognized by MEC

What will I learn?

Unlock the potential of data with our 'Introduction to Machine Learning for Data Science' course, designed for Business Intelligence professionals. Delve into crucial topics such as data pre-processing, feature engineering, and model training. Gain expertise in advanced algorithms like Random Forests and Gradient Boosting for sales forecasting. Learn to fine-tune models through hyperparameter optimisation and assess their performance using metrics like MAE and RMSE. Enhance your BI skills with practical, high-quality insights that drive business success.

Elevify advantages

Develop skills

  • Master data cleaning: Ensure accuracy by removing inconsistencies and errors.
  • Develop feature engineering: Create impactful features for better model performance.
  • Optimise models: Enhance accuracy with hyperparameter optimisation and algorithm comparison.
  • Visualise data insights: Use visualisation tools to uncover actionable insights.
  • Evaluate models: Measure success with metrics like MAE and RMSE.

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.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
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