imblearn

sharmaroshan/Fraud-Detection-in-Insurace-Claims

This is a very Important part of Data Science Case Study because Detecting Frauds and Analyzing their Behaviours and finding reasons behind them is one of the prime responsibilities of a Data Scientist. This is the Branch which comes under Anamoly Detection.

shayleaschreurs/Machine-Learning-Trading-Bot

Our goal was to create a ML bot that analyzes real time trading data to determine the most opportune times buy and sell stock

cp-PYFOREST/PYFOREST-ML

Utilizing machine learning to examine deforestation rates in the undeveloped region of Paraguay's Chaco

pratik-choudhari/Intent-classification-using-python

Imbalanced Intent classification model with deployment

binaryvexjuiit/Detecting-Facial-Diseases-Through-Neural-Networks

Facial skin disease detection using Neural Networks

ChaitanyaC22/Fraud_Analytics_Credit_Card_Fraud_Detection

The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

hdkronke/cc-customer-attrition-project

Machine learning is used to analyze and predict attrition flags in credit card customers.

kalyaniasthana/CS273A_project_diabetes

Course Project for CS273A: Machine Learning at UCI

LaurentVeyssier/Starbucks_case_study_Udacity_Data_Science

Case study from UDACITY Data Scientist Nanodegree

mattiacurri/ProgettoICON

Corporate Credit Rating Prediction System - Knowledge Engineering Project - A.A. 2023-2024

nnilayy/Classification-Notebook

Data Science Classification General Notebook

Sanushi-Salgado/Tumor-Teller-Prediction-Module

Prediction module for Tumor Teller - primary tumor prediction system

spapicchio/Gamma-Telescope-Analysis

Machine Learning analysis for an imbalanced dataset. Developed as final project for the course "Machine Learning and Intelligent Systems" at Eurecom, Sophia Antipolis

AJMnd/Credit_Risk_Analysis

An analysis on credit risk

alessandrosocc/Machine-Learning-Project-2022

Final project of the Machine Learning course at the University of Cagliari in 2022. Analysis of a dataset, use of Machine Learning techniques with Oversampling and Undersampling techniques. Final report with the results obtained.

BishwanathKumarPanda/Parkinson-Disease

Parkinson’s disease is a progressive disorder that affects the nervous system and the parts of the body controlled by the nerves. Symptoms are also not that sound to be noticeable. Signs of stiffening, tremors, and slowing of movements may be signs of Parkinson’s disease.

clairempr/spooky-classify

Text classification with scikit-learn, used to make predictions for Kaggle Spooky Author Identification competition

mahnoorsheikh16/FDS-Project-CMSE830-Credit-Card-Default-Prediction

This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.

NaveenKumarMaurya/datascience-project-portfolio

Portfolio of my data science projects which i have completed for learning, skill development .

npantfoerder/credit-risk-analysis

Using Scikit-learn and Imbalanced-learn to build and evaluate ML models that predict credit risk

prohogiy90/ds-model-of-the-behavior-of-the-SberAvtopodpiska-customers

This repository contain my final projekt on the Data science Skillbox school on the topic: "Development of a machine learning algorithm to predict the behavior of customers of the "SberAvtopodpiska"

SayamAlt/Fraudulent-Transactions-Prediction

Successfully trained a machine learning model which can predict whether a given transaction is fraud or not.

shanuhalli/Assignment-Random-Forest

Use Random Forest to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.

shinho123/23.11.10-1st-Korean-Society-of-Industrial-Engineers

2023년 11월 대한산업공학회(UNIST) : 다중 역할 경험을 고려한 게임 유저 이탈 예측: 롤 게임을 중심으로, 1저자

SpaceFrostDev/telco_kaggle

Building a tabular binary classification neural network to predict Telco's Customer Churn from their publicly available dataset on Kaggle.

varmatilak22/Credit_Score_Prediction

Credit Score Prediction is a machine learning project that classifies credit scores ('Good', 'Standard', 'Poor') using a streamlined pipeline. It involves data extraction, cleaning, and preprocessing, with key techniques like Mutual Information for feature selection, PCA for dimensionality reduction, and XGBoost for efficient and accurate model tr

varmatilak22/Spam_SMS_Classification

This project aims to develop a machine learning model to classify SMS messages as spam or not spam. The project encompasses the entire pipeline from data collection and preprocessing to model training, evaluation, and deployment using Streamlit for an interactive user interface.

Vergosss/Decision_Theory_2023_2024_Project

AntarMukhopadhyaya/Fraud-Warden

Fraudulent Credit Transaction detection system using SMOTE, Random Forest Classifier and Streamlit

Fedesgh/Asteorid_RandomForest_Classifier

Classifier model trained with unbalanced dataset ready for deployment

Fedesgh/Building_Credit_Risk_Classifier_Using_Bagging_Kneighbors

Problem statment about modeling target vector and attempt to improve metrics

pouriaSameti/EFQM-Internship-projects

viniciusds2020/ml_balaceamento_allknn

Este repositório contém um código de Machine Learning que utiliza o algoritmo AllKNN do pacote imblearn para realizar o balanceamento de dados.

Amber-Abuah/Amazon-Rating-Predictor

MultinomialNB classifier for predicting Amazon review ratings.

manjit-baishya-datascience/Spam-Email-Detection

This project demonstrates how to build a spam detection system using Natural Language Processing (NLP) and machine learning techniques.