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Machine Learning Beginner Course

What will I learn?

Unlock the power of machine learning with our comprehensive Beginner Course, tailored for technology professionals in Namibia lookin' to sharpen their skills. Get stuck into the basics of machine learning, explore how to prepare data properly, and become a boss at linear regression. Learn how to understand what your models are tellin' you, deal with missing data, and write down your findings clearly. This course is all about practical, top-notch stuff, so you can confidently use machine learning in real-life situations. Sign up now and take your career to the next level!

Apoia's Unique Features

Online course with lifetime access
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you wish to study
Customize your course workload
Instant feedback on practical activities
Study anytime, no internet connection required

Develop skills

Enhance the growth of the practical skills listed below

Become a master at data preparation: Handle missing values and scale features like a pro.

Understand your model's results: Check how accurate it is and understand its limits and coefficients.

Do exploratory data analysis like a detective: See the data and find connections.

Train and test your models: Split the data, train the models, and see how they perform.

Write down what you've learned clearly: Share your conclusions and write good data reports.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can modify the chapters and the workload.

  • Select which chapter to commence with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can include

You’ll be able to generate additional chapters similar to the examples below

This is a free course focused on personal and professional growth. It does not equate to a technical, undergraduate, or postgraduate qualification, but offers practical and relevant knowledge for your professional journey.