Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
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Updated
Oct 20, 2023 - Python
Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
Application of Deep Learning and Feature Extraction in Software Defect Prediction
Repo to analyze population genetic data with many different methods
This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.
ROS package for creating a terrain cost map using RGBD Camera for locomotion of legged Robots.
A cross compiled Scala.js port of JAMA for JVM, JavaScript, and Scala Native projects.
PCA(Principle Component Analysis) For Seed Dataset in Machine Learning
Toolkit for Data Science & Statistics
Heart disease detection using different classifiers and neural network with feature engineering.
Machine learning with MATLAB/Octave, coding machine learning algorithms from scratch
Machine learning problem sets from Stanford University's Machine Learning course on Coursera
An binary classification model based on principle component analysis and fuzzy inference system. It takes brain MRI images and predicts whether the MRI image contains a tumor or not.
Python version of exercises in the Coursera course of Machine Learning provided by Stanford University (https://www.coursera.org/learn/machine-learning)
An in-depth comparison of two prominent intrusion detection datasets: KDDCup99 and NSL-KDD
This is a 16S amplicon analysis for visualizing microbiome data using QIIME, QIIME2R and Phyloseq. DNA was isolated fom both sediment cores and seabird fecal samples for this analysis.
Course work of Multivariate data analysis CH5440
This repository consists of performing Principal Component Analysis (Finding out the principle components of our dataset), using the concept of Eigen Vectors and Eigen Values of the correlation matrix. Also, it also includes the technique of reducing the dimension of the data using Singular Value Decomposition technique and reduce it to the lowe…
RGB data processing pipeline including auto-white-balance based on principle component analysis (PCA).
Principle Component Analysis
Principle Component Analysis Clustering Visualization for Iris dataset
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