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…

Reduce the curse of dimensionality

Tutorial- data Pre-processing

Clustering NBA Players Based on Performance

Application of PCA in facial recognition

ML Homeworks using ML tools

SDS course assignments

1st year master project: Projection of a 10-dimentional dataset into 2 or 3 dimentions using the Levenberg–Marquardt optimization algorithm, which was implemented.

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.

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.

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

Introduction to Machine Learning project with the goal of improving the classification performance on a dataset by optimizing the number of features and weak learners.

A newspaper articles classification system based on theme/topic using BERT (HuggingFace)

Dimensionality Reduction Techniques and NLP

in this project, logistic regression, KNN, classification trees, random forests and neural network were used.

Data Mining and Wrangling Mini Project 3 - August 25, 2021