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Data Science AI ML Course

What will I learn?

Unlock the potential of data with our Data Science AI ML Course, tailored for tech professionals keen to get ahead. Delve into feature selection strategies, become a dab hand at hyperparameter tuning, and explore advanced machine learning algorithms like Random Forest and Gradient Boosting. Get stuck in with practical experience in data preprocessing, model training, and evaluation techniques. Learn to interpret model outputs and produce impactful reports. This concise, top-notch course gives you the practical skills you need to thrive in the data-driven world.

Apoia's Advantages

Online and lifetime access to courses
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you'd like to study
Set your own course workload
Instant feedback on practical activities
Study at your convenience, no internet required

Develop skills

Strengthen the development of the practical skills listed below

Master feature selection to improve model accuracy and efficiency.

Optimise hyperparameters using advanced search methods.

Evaluate models using proper cross-validation and metrics.

Explore data to spot patterns and outliers effectively.

Implement machine learning algorithms to gain predictive insights.

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.