imblearn
There are 91 repositories under imblearn topic.
GenTaylor/Traffic-Accident-Analysis
Traffic Accident Analysis using python machine learning
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.
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
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
binaryvexjuiit/Detecting-Facial-Diseases-Through-Neural-Networks
Facial skin disease detection using Neural Networks
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
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.
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
ImMaxRoss/predicting_churn
Building a classifier model workflow with pipeline.
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/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.
alaa-aleryani/Credit_Risk_Classification
We used various techniques to train and evaluate a model based on loan risk. We used a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.
Shipra-09/Project-Vehicle-Insurance
This Github repository contains cross selling of health insurance customers on vehicle insurance product. We have to predict whether a customer would be interested in Vehicle Insurance or not by building a ML model. Exploring Insights/Inferences by performing EDA on the given project data. Finding the high accuracy
stsibikov/Telco_customer_churn
Analysis of a customer base of telecommunication services company. ML algorithm implementation to predict customer churn. The model beat all benchmarks and would allow for up to 27% reduction in customer lifetime value loss
Amber-Abuah/Amazon-Rating-Predictor
MultinomialNB classifier for predicting Amazon review ratings.
AntarMukhopadhyaya/Fraud-Warden
Fraudulent Credit Transaction detection system using SMOTE, Random Forest Classifier and Streamlit
saikrishnabudi/Random-Forest
Data Science - Random Forest Work
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.
xinguanca/MLproject_creditcardfraud
My first machine learning project.