A smart Network Intrusion detection tool to perform forensics on your network.
Comprehensive benchmark study of feature selection techniques for predictive machine learning models on tabular data. Various feature selection methods are evaluated across different data characteristics and predictive scenarios.
主要包含ModelHelper和NLPHelper，其中ModelHelper主要有特征选择、超参数搜索、模型解释和模型融合等，NLPHelper则是进一步封装了NLP一些常用的操作，常用的网络结构以及几个NLP的任务
[UNI PROJECT] House Price Prediction Web Application | Python, Flask, Machine Learning Developed a full-stack machine learning web application to predict California housing prices using a custom Linear Regression model built from scratch.
🤖 Explore and implement Machine Learning algorithms from scratch while comparing performance with optimized library-based approaches.
This repo is to investigate Neural Networks for recognition of human activities.
Add a description, image, and links to the featureselection topic page so that developers can more easily learn about it.
To associate your repository with the featureselection topic, visit your repo's landing page and select "manage topics."