Category: Data Science

Machine learning in 8 steps
Model building in machine learning using 8 steps In this article, we will study model building in machine learning using 8 simple steps. It is necessary to have basic knowledge and understanding to build a predictive model in python. Python is a more powerful tool especially for data scientists, machine learning engineers, and AI experts. […]
graph based neural network
Graph based neural network: The graph based neural network (GNN) work and to be building it up from the basics of message passing now the equation right now is a popular graph neural network known as a graph convolutional network or a gcn . we’ll have a basic understanding of how this equation produces node […]
patchify in python
Patchify in python: When ever we used GAN or deep learning, we need small image size , it will be better  to get god result. I have face this problem , when i was working with GAN , it give 400 patches in a single image, so i do it manually, which is too much […]
Machine learning vs deep learning
The main difference between AI vs Machine Learning vs Deep Learning.. Many misconceptions surround the word “word” today. Machine learning? Deep learning And artificial intelligence(AI) . Most people believe that all these things are the same. When they hear the term AI, they immediately associate it with machine learning. Let’s find out how. So we have […]
Multi task learning

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Multi-task learning is a sub-field within Deep Learning. It is recommended that you familiarize yourself with the concepts of neural networks to understand what multi-task learning means. What is Multi-Task Learning and how can it help you? Multi-task learning is a subfield of Machine Learning. It aims to solve multiple tasks simultaneously by taking advantage the similarities between […]
confusion matrix python plot

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CM  Confusion Matrix python plot: Classification refers to the process of classifying a set of data into classes. In Machine Learning (ML), you create the problem, clean and add feature variables, train the model, measure it’s performance, and improve it with a cost function. How can we evaluate its performance? What are the most important features […]
 Images radiomics texture features : radiomics texture features are very useful in image processing techniques to extract feature. Python can extract radiomics mri form medical images. This package is designed to serve as a reference standard for Radiomic Analysis. It also provides an open-source platform that allows reproducible and simple radiomics texture features. We want to increase […]
machine learning for kids

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Machine learning for kid:  I’d like to introduce machine learning for kids a free tool to help school children learn about artificial intelligence and machine learning by letting them make things with it. I’m going to share some projects that I’ve seen school classes make with the tool and I’m going to talk a bit […]