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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?

Unlock di power wey data get with our "Introduction to Machine Learning for Data Science" course. Dis course tailor-make for Business Intelligence people dem. Enter inside important topics like how to prepare data, how to create better features, and how to train models. Master advanced algorithms like Random Forests and Gradient Boosting for predictin' sales. Learn how to make models perform betta wit hyperparameter tuning and how to measure dem using metrics like MAE and RMSE. Improve ya BI skills wit practical, high-quality information wey go drive business success.

Elevify advantages

Develop skills

  • Master data cleaning: Make sure say data correct by removing anytin wey no dey right and any errors.
  • Develop feature engineering: Create features wey get power to make model perform betta.
  • Optimize models: Make models more accurate wit hyperparameter tuning and by comparing different algorithms.
  • Visualize data insights: Use visualization tools to find information wey go help you take action.
  • Evaluate models: Measure how well di model dey do by using metrics 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 I work for.
SilviaNurse
Great course. A lot of valuable information.
WiltonCivil Firefighter

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