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Applied Machine Learning without coding using Orange 3

A simple approach to data science

4.7 / 5.0
429 students10 hours 4 minutes

Created by Yannis Faitakis, offered on Udemy

bestcourses score™

Student feedback

4.9/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 429 students which left 95 reviews at an average rating of 4.7, which is average.

Course length

9/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 10 hours 4 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.

Overall score

5.4/10

This course currently has a bestcourses score of 5.4/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.

Description

This is a course about data science and machine learning without using any programming!

Orange 3 is used as the platform for the course. It is public domain and very powerful tool with a lot of flexibility. It is a visual environment making it very easy to demonstrate your work to others. You do not need to have any background in machine learning in order to follow this course. I have tried to keep the concepts very simple and provide enough theory to get you started. I provide resources for further reading if you want to advance your knowledge in machine learning and data science.

Although Orange 3 is a simple tool, it can accomplish advanced tasks. I did not cover all of Orange 3's capabilities, however at the end of the course you will be able to experiment with all of its features.

I will cover a variety of topics:

  • Data pre-processing

    • Imputation

    • Outlier detection

    • Variable transformation

    • Handling of imbalanced data sets

  • Modelling for both classification and regression problems

    • Linear regression

    • Support vector machines

    • Neural Networks

    • kNN

    • k-Means

    • Random forest

  • Time series forecasting. This is normally a subject of advanced courses but I thought to include it and give you an idea of how it is performed, as so many real life problems are time series

  • Image classification. It is really fast and fun with Orange 3 and very easy to understand and expand it as required

  • I am also showing how to use Python coding and mix it with the Orange user interface to perform variable transformation, but that is only the beginning. Once you become familiar, you will realize that it is a very powerful option to have in your hands!

Hope you have a productive learning experience with this course!

What you will learn

  • Learn the basics of machine learning without any coding!
  • Will use Orange 3 to learn about a variety of problems and ways you can solve them using the tools provided in the software.
  • By the end of the course you will have a solid understanding of the most used machine learning algorithms for regression, forecasting and classification and how to prototype solutions in Orange 3

Requirements

  • There is no requirement for knowing Python or R for this course. Some basic statistics knowledge is required.
  • Would also be helpful if you watch some introductory videos about Orange 3 on YouTube
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Frequently asked questions

  • Price: $19.99
  • Platform: Udemy
  • Language: English
  • 10 hours 4 minutes
Applied Machine Learning without coding using Orange 3 thumbnail

bestcourses score: 5.4/10

There might be better courses available for this topic.