This repo contains implementation of IP2Vec model which is used for learning similarities between IP Addresses
-
Updated
Dec 1, 2023 - Jupyter Notebook
This repo contains implementation of IP2Vec model which is used for learning similarities between IP Addresses
Regression, Classification, Clustering, Dimension-reduction, Anomaly detection
Fisher's LDA is a dimensionality reduction and classification method maximizing class separability by finding linear discriminants that optimize the ratio of between-class to within-class variance.
in this project, logistic regression, KNN, classification trees, random forests and neural network were used.
Reduce the curse of dimensionality
Dimensionality Reduction Techniques and NLP
Data Mining and Wrangling Mini Project 3 - August 25, 2021
Application of PCA in facial recognition
This repository contains Pattern Recognition and Machine Learning programs in the Python programming language.
This work involves two subtasks: assessing clustering results using all input variables and applying PCA for dimensionality reduction to improve understanding of multi-dimensional problems.
Задача классификации (Оценка занятости помещения на основе многомерных сенсорных узлов) / Classification task. (Based Occupancy Estimation Using Multivariate Sensor Nodes)
Automated ML pipeline for Iris dataset classification using Decision Tree. Features PCA dimensionality reduction and standard scaling.
The pupose of this work is to create a model that helps predict the unsubscription (churn) of a given customer or a group of customers according to their age, gender, salary etc... using the provided data.
1st year master project: Projection of a 10-dimentional dataset into 2 or 3 dimentions using the Levenberg–Marquardt optimization algorithm, which was implemented.
This project intends to show the ways we can perform dimensionality reduction techniques on our data.
Performing hierarchical and k-means clustering with and w/o PCA technique for dimentionality reduction.
ML Homeworks using ML tools
Implementation of PCA with KNN Clustering
Find codes to various dimentionality reduction techniques here!
Add a description, image, and links to the dimentionality-reduction topic page so that developers can more easily learn about it.
To associate your repository with the dimentionality-reduction topic, visit your repo's landing page and select "manage topics."