Machine Learning tools and software that does not require any coding
This blog is highlighting tools and software of Machine Learning for every level of the audience, so they can use those tools based on their experience.
The targeted audience of this blog:
- People who find coding difficult to understand but want to predict the future using Machine Learning.
- People who do like Python, R, or any other Programming Language, but still want to explore different software and tools of Data Science.
Let’s Get Started!
Lobe.ai
Audience: Beginner
This software aims to identify objects/actions using Machine Learning without writing a single line of code. It is one of the easiest software out there, especially if you want to teach beginners about Machine Learning Models you can use lobe.ai for it.
Here is the link to download the software: https://www.lobe.ai/
A beginner guide is also available on their site.
Screenshot of their software UI from their official guide video:
KNIME
Audience: Intermediate
KNIME is an open-source Data Science tool, it performs all sorts of data science tasks such as from understanding the nature of data to predicting it using ML.
The link to download KNIME: https://www.knime.com/downloads
Idiot’s guide to KNIME: https://www.analyticsvidhya.com/blog/2021/03/a-friendly-introduction-to-knime-analytics-platform/
The user interface of KNIME looks like this:
DashB.ai
Audience: Beginner
It is available on GitHub, created by Summit Kumar, If you just started learning ML, then this tool is perfect for you, it contains important preprocessing steps of data. You must have Python installed in your operating system to use it.
Here is the link to the installation process: https://github.com/IMsumitkumar/No-code-ML-platform-DashB.ai
Quick Demo Video: https://www.youtube.com/watch?v=dHG0M8OqYe4
This is what the Web app of DashB looks like:
NoCode-ML
Audience: Beginners
It is also available on GitHub, created by Ashish Rao. If you have just started learning ML and only know some basic models, this tool is perfect for you, it contains data preprocessing techniques along with Regression, classification, and clustering techniques in ML. You must have Python installed in your operating system to use it.
Here is the link to the installation process: https://github.com/raoashish10/NoCode-ML
Quick Demo Video: https://drive.google.com/file/d/1anhyh7Ann1WrBgD5piH1D6T3C1gLxTYQ/view
This is what the Web app User Interface of NoCode-ML looks like:
BMW-TensorFlow-Training-GUI for Linux
Audience: Beginners
An Object Detection Training GUI for Linux operating system.
As stated in their official documentation: This repository allows you to get started with training a State-of-the-art Deep Learning model with little to no configuration needed!
Link to the software: https://github.com/BMW-InnovationLab/BMW-TensorFlow-Training-GUI
User Interface took from their GitHub Repository:
Teachable Machine
Audience: Beginner
The purpose of these online tools is stated on their site: Train a computer to recognize your images, sounds, & poses. No expertise or coding is required.
One of the advantages is that all the work is done on their website, this kind of feature is very rare to find in the Data Science domain. It is also a very fun tool to teach ML to children.
Teachable Machine website: https://teachablemachine.withgoogle.com/
User Interface of their web app:
Akkio
Audience: Beginner
This is one of the most powerful tools in the market for Machine Learning, but it has a cost, which is the reason I put it last. It does have a trial period which may be enough for you to get a basic understanding of this tool.
Teachable Machine website: https://www.akkio.com/
Akkio app UI:
