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Data Science Machine Learning Course

What will I learn?

Unlock the power of data with our Data Science Machine Learning Course, tailored for Business Intelligence professionals. Dive into feature engineering, mastering time-based and domain-specific strategies. Enhance your skills with data pre-processing, handling missing values, and encoding categorical variables. Explore machine learning algorithms like Decision Trees and Gradient Boosting. Learn model training, evaluation, and deployment, integrating them seamlessly into business processes. Elevate your BI expertise with practical, high-quality insights.

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 feature engineering: Create impactful, domain-specific features.

Deploy models seamlessly: Integrate into business processes efficiently.

Evaluate models precisely: Use RMSE, MAE, and cross-validation techniques.

Pre-process data effectively: Clean, encode, and handle missing values.

Optimize algorithms: Tune hyperparameters and compare model performance.

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.