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Data Science AI ML Course

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What will I learn?

Unleash the power of data with our Data Science AI ML Course, designed for technology professionals keen to excel. Dive into feature selection strategies, master hyperparameter tuning, and explore advanced machine learning algorithms like Random Forest and Gradient Boosting. Get hands-on experience with data pre-processing, model training and evaluation techniques. Learn to interpret model outputs and create impactful reports. This concise, high-quality course equips you with practical skills to thrive in the data-driven world.

Apoia's Differentials

Online and lifetime access to courses
Certificate adhering to educational standards
Printable PDF summaries
Online assistant available at all times
Select and arrange the chapters you wish to study
Set your own course workload
Practical activities marked instantly
Study anytime, no internet needed

Develop skills

Strengthen the development of the practical skills listed below

Master feature selection to enhance model accuracy and efficiency.

Optimise hyperparameters using advanced search techniques.

Evaluate models with robust cross-validation and metrics.

Explore data to identify patterns and outliers effectively.

Implement machine learning algorithms for 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.