Applied Machine Learning without coding using Orange 3
- 4.6
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Brief Introduction
A simple approach to data scienceDescription
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!
Requirements
- 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
Yannis Faitakis
4.6 Raiting
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