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Introduction to Machine Learning For Data Science Course

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

What will I learn?

Get di power for use data well wit wi 'How to Start Machine Learning for Data Science' course, weh dem mek special for pipo weh de work wit Business Intelligence. Enter inside important topics like how to clean data, how to fix data features, and how to train model. Learn advanced ways like Random Forests and Gradient Boosting for predict sales. Learn how to make model betta wit hyperparameter tuning and check dem wit tins like MAE and RMSE. Make yu BI skills strong wit correct correct knowledge weh go help business succeed.

Elevify advantages

Develop skills

  • Know how to clean data well: Make sure data correct by komot all mistake and problem.
  • Learn how to fix data features: Create good good features weh go make model work betta.
  • Make model betta: Make dem more correct wit hyperparameter tuning and compare algorithms.
  • See data clear clear: Use machine weh de show data for find tins weh man fit use.
  • Check model: Measure if e good wit tins like MAE and RMSE.

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
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 where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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