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Data Science AI ML Course

What will I learn?

Unlock the power of data with our Data Science AI ML Course, specifically designed for technology professionals who are keen to succeed. You'll learn different ways of selecting the best features for your models, become experts in fine-tuning hyperparameters, and explore advanced machine learning algorithms like Random Forest and Gradient Boosting. You'll get practical experience with preparing data, training models, and checking how well they perform. You'll also learn how to understand what your models are telling you and create reports that make a real difference. This course is straight to the point and of high quality, giving you the practical skills you need to do well in today's world where data is so important.

Apoia's Unique Offerings

Online courses with lifetime access
Certificate aligned with educational standards
Printable PDF summaries
24/7 online support
Select and organise the chapters you wish to study
Set your own course workload
Instant feedback on practical activities
Study at your convenience, no internet required

Develop your skills

Enhance your practical skills listed below

Become a master at selecting the best features to make your models more accurate and efficient.

Become good at optimizing hyperparameters using advanced search methods.

Evaluate your models properly using cross-validation and different measures.

Explore your data to spot patterns and any unusual data points effectively.

Use machine learning algorithms to make predictions and gain valuable insights.

Suggested summary

Workload: between 4 and 360 hours

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

Examples of chapters you can add

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

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