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Applied Machine Learning Course

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What will I learn?

Elevate your Business Intelligence skills with our Applied Machine Learning Course, designed for professionals seeking practical, high-quality learning. Master data pre-processing, explore feature engineering, and dive into model selection with techniques like decision trees and ensemble methods. Enhance your expertise in model training, evaluation, and optimization, while developing actionable insights and recommendations. This course empowers you to transform data into strategic business decisions, all at your own pace.

Apoia's Unique Features

Online and lifetime access to courses
Certificate compliant with educational standards
Printable PDF summaries
Online support available at all times
Select and arrange the chapters you want to study
Set your course workload
Instant feedback on practical activities
Study anytime, no internet required

Develop skills

Strengthen the development of the practical skills listed below

Master data pre-processing: Normalize, handle missing data, and encode variables.

Optimize models: Tune hyperparameters and compare algorithms for best performance.

Evaluate models: Use metrics to assess and improve model accuracy.

Develop insights: Analyze results to provide actionable business recommendations.

Engineer features: Create new data features to enhance predictive power.

Suggested summary

Workload: between 4 and 360 hours

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

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.