In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code behind the linear regression in python.

However, due to issues such as scarce abnormal samples, complex abnormal manifestations, and difficult abnormal annotation, the detection accuracy is limited. To solve these problems, based on the ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

7. PyTorch One more option for an open-source machine learning Python library is PyTorch, which is based on Torch, a C programming language framework. PyTorch is a data science library that can be ...

5. Matplotlib Matplotlib is a plotting library for Python that has a community of over 700 contributors. It produces graphs and plots that can be used for data visualization, as well as an ...

Deep learning (DL) greatly enhances binary anomaly detection capabilities through effective statistical network characterization; nevertheless, the intrusion class differentiation performance is still ...

The extracted features have been classified using the deep graph ConvoNet (convolutional network)- DG_ConvoNet. The diagnostic accuracy of 96%, sensitivity of 80%, specificity of 73%, precision of 90% ...