Access courses

Machine Learning Course

What will I learn?

Unlock the power of machine learning with our comprehensive course designed for technology professionals. Dive into data collection and exploration using Pandas and NumPy, master dataset splitting strategies, and evaluate models with precision. Learn essential pre-processing techniques, explore advanced model selection, and gain insights into regression models like Decision Trees and Random Forests. Enhance your skills with practical, high-quality content that ensures you're ready to tackle real-world challenges. Join now and transform your career!

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 handling: Load, inspect, and select datasets with Pandas and NumPy.

Implement dataset splitting: Apply cross-validation and stratified sampling techniques.

Evaluate model performance: Understand MAE, MSE, and R-squared metrics.

Pre-process data effectively: Handle missing values and encode categorical variables.

Optimize models: Tune hyperparameters and utilize ensemble methods.

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.