GitHub topics: comparitive-study
anupamsaha18/Subjective-research-case-on-The-Rise-of-Buy-Now-Pay-Later-BNPL-
This project explores the rapid growth of Buy Now, Pay Later (BNPL) services and their impact on consumer spending habits and credit risk in the fintech sector. It aims to assess how BNPL influences financial behavior, debt management, and the evolving landscape of digital payments.
Size: 367 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
rishabhj29/-SWEETGUARD-Unveiling-Your-Diabetes-Destiny-
SWEETGUARD π‘π β A data-driven diabetes risk assessment tool that leverages machine learning and public health datasets to predict individualized diabetes risk scores. Using Python π, Power BI π, and statistical analysis, this project identifies key lifestyle factors and empowers individuals with personalized health insights.
Language: HTML - Size: 19.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
SanjayKhatiChhetri/TodoReactApp
Full-stack Todo application developed as part of a thesis on frontend frameworks. Built with React, Node.js, and PostgreSQL, it features user authentication, CRUD operations, and a responsive UI. Demonstrates modern web development practices, API integration, and serves as a practical case study for comparing frontend technologies.
Language: JavaScript - Size: 381 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0
Divya171997/Machine-Learning-and-Data-Mining
Investigate the feasibility of machine learning procedures in predicting the fake news and misleading information aο¬ecting the image of social media company.Tasks are to identify machine learning techniques appropriate for a particular practical problem,undertake a comparative evaluation of several machine learning procedures when applied to the specific problem, produce class predictions of the records in the test set using one approach of your choice among those tested in the comparative study.
Language: Jupyter Notebook - Size: 408 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
shreyansh-2003/Clustering-Analysis-KMeans-vs-Agglomerative-Clustering-for-Large-Datasets
This repo explores KMeans and Agglomerative Clustering effectiveness in simplifying large datasets for ML. Goals include dataset download, finding optimal clusters via Elbow and Silhouette methods, comparing clustering techniques, validating optimal clusters, tuning hyperparameters. Detailed explanations and analysis are provided.
Language: Jupyter Notebook - Size: 2.59 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
ananya-singh-baghel/FGSM-over-XAI-based-Image-Classifier
XAI LIME-based image classifier or SHAP unified framework is utilised to interpret the output of different types of models, such as neural networks, decision trees, and linear models, is to FGSM adversarial assaults and evaluate the effect on the predictability of the model.
Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
JustAbhishek/MNIST-Digit-Recognizer
Comparative-Models for MNIST Dataset
Language: Jupyter Notebook - Size: 217 MB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
