MatteoM95 / Default-of-Credit-Card-Clients-Dataset-AnalisysLinks
Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
☆24Updated last year
Alternatives and similar repositories for Default-of-Credit-Card-Clients-Dataset-Analisys
Users that are interested in Default-of-Credit-Card-Clients-Dataset-Analisys are comparing it to the libraries listed below
Sorting:
- To Detect and Classify Brain Tumors using CNN and ANN as an asset of Deep Learning and to examine the position of the tumor.☆71Updated last year
- The project provides a Tailor-made travel itinerary for users using their travel details like destination, budget, start and end dates of…☆130Updated 5 years ago
- This is My Task 3 (Golden Project 1) as a Data science Intern at CodeClause☆9Updated 2 years ago
- Knowledge-based, Content-based and Collaborative Recommender systems are built on MovieLens dataset with 100,000 movie ratings. These Rec…☆134Updated last year
- The "Medicine Recommendation System" is designed to provide suggestions for alternative or substitute medications based on a search query…☆35Updated last year
- Repository for Fraud Dataset Benchmark☆191Updated last year
- This is a Machine Learning web app developed using Python and StreamLit. Uses algorithms like Logistic Regression, KNN, SVM, Random Fores…☆45Updated 3 years ago
- Fraud detection using Graph Convolutional Networks☆12Updated 3 years ago
- Predicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. Extraction of factors imp…☆61Updated last year
- This project aims to predict the type 2 diabetes, based on the dataset. It uses machine learning model,which is trained to predict the di…☆40Updated 6 years ago
- Enhanced Credit Card Fraud Detection based on Attention mechanism and LSTM deep Model☆41Updated 3 years ago
- Food/Diet Recommendation system using machine learning☆212Updated last month
- Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances☆77Updated 4 years ago
- Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarc…☆129Updated 11 months ago
- A Machine Learning and Deep Learning based webapp used to predict multiple diseases.☆141Updated 2 years ago
- The "LLM Projects Archive" is a centralized GitHub repository, offering a diverse collection of Language Model Models projects. A valuabl…☆63Updated 5 months ago
- Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory:…☆195Updated last year
- Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.☆21Updated 2 years ago
- This repo consists of some Data Analysis and ML projects done in R Studio. These are Hospital Quality Analysis, Pollution Analysis, Analy…☆9Updated 4 years ago
- Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree☆137Updated 2 years ago
- Information Retrieval (CSE 508) Project☆60Updated 3 years ago
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆213Updated 2 years ago
- sample ml projects with flask framework☆40Updated 4 years ago
- This repository contains the solutions of the Assignments submitted during PWSkills Data Science Masters Course☆14Updated last year
- Business setting up their recommendation system for first time without any product rating history, & Amazon/Netflix type of recommendatio…☆95Updated 2 years ago
- In this project, the objective is to predict whether the person has Diabetes or not based on various features like Number of Pregnancies,…☆178Updated 8 months ago
- Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM…☆156Updated 3 years ago
- Machine Learning Project☆64Updated 4 years ago
- A machine learning web application use to predict chances of heart disease, built with FLASK and deployed on Heroku.☆40Updated last year
- Predict Diabetes using Machine Learning.☆150Updated 2 years ago