This repo contains implementation of IP2Vec model which is used for learning similarities between IP Addresses
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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
- Graph Based Feature Selection is a new approach of reducing the dimensionality of a dataset using a Graph Based approach. - The apporach tries to generate a Kruskal's minimum spanning tree of a graph where the features of the dataset are the vertices and the correlation among them are the weights of the edges. -The edges having weights greater…
Tutorial- data Pre-processing
Reduce the curse of dimensionality
Clustering NBA Players Based on Performance
Application of PCA in facial recognition
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.
ML Homeworks using ML tools
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.
SDS course assignments
This project focused on applying machine learning to build a clustering model to segment and analyze customer characteristics in the airline industry based on LRFMC scores using K-Means and suggest business strategy recommendations based on the results.
Codes and Project for Machine Learning
A newspaper articles classification system based on theme/topic using BERT (HuggingFace)
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.
Data Mining and Wrangling Mini Project 3 - August 25, 2021
in this project, logistic regression, KNN, classification trees, random forests and neural network were used.
Find codes to various dimentionality reduction techniques here!
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