Topic: auc-roc-curve Goto Github
Some thing interesting about auc-roc-curve
Some thing interesting about auc-roc-curve
auc-roc-curve,The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.
User: abhishekdbihani
auc-roc-curve,This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.
User: akashash01
auc-roc-curve,Analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build a predictive model that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.
User: alef-s
Home Page: https://eportfolio.mygreatlearning.com/vanessa-florez
auc-roc-curve,Modelo predictivo de aprendizaje supervisado para detectar clientes en riesgo de cancelar cuenta en Beta Bank.
User: aranzadata
auc-roc-curve,ExcelR-Assignment---Logistic-Regression-Assignment---6
User: arif-rehman
auc-roc-curve,Predicting churn rate of customers using Random Forest
User: ayushiydv05
auc-roc-curve,A dataset containing over 70,000 data points, 12 features, and one target variable were used to analyze if machine learning could predict if an individual has cardiovascular disease.
User: cassnutt
auc-roc-curve,Udacity DSND capstone project on the Bertelsmann-Arvato challenge on customer segmentation report and supervised learning model.
User: chrisliatas
auc-roc-curve,Credit card fraud refers to any unauthorized or fraudulent use of someone else's credit card information to make purchases or obtain funds. It is a criminal activity and a form of identity theft. This repository contains an implementation of a credit card fraud detection system using machine learning techniques.
User: coderjolly
auc-roc-curve,✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation
User: deadskull7
auc-roc-curve,Continuing with telemarketing model to predict campaign subscriptions in a portuguese bank institution. For this project I have evaluated the performance of four resampling techniques and selected the best one to implement the logistic model.
User: domingosdeeulariadumba
auc-roc-curve,A Comprehensive Guide to Titanic Machine Learning from Disaster
User: faysal37
Home Page: https://www.kaggle.com/c/titanic
auc-roc-curve,Multi-label AUC plot script
User: fitushar
auc-roc-curve,Landscape of ML/DL performance evaluation metrics
User: hollobit
auc-roc-curve,calculate ROC curve and find threshold for given accuracy
User: ilyajob05
auc-roc-curve,Classification algorithms to predict if a client would default on their loan
User: imane-ayouni
auc-roc-curve,Evaluating machine learning methods for detecting sleep arousal, bachelor thesis by Jacob Stachowicz and Anton Ivarsson (2019)
User: jacobstac
auc-roc-curve,We conduct cluster analysis on customers and machine learning to predict if a customer will receive insurance benefits.
User: jodiambra
Home Page: https://jodiambra.github.io/Sure-Tomorrow-Insurance-Benefits-Predictions/
auc-roc-curve,A financial institution wants to accurately predict the probability of loanee/borrower defaulting on a vehicle loan in the first EMI on the due date.
User: kapilrajnangare
auc-roc-curve, This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.
User: ksharma67
auc-roc-curve,Repository where it is intended to address the detection of patients who will be readmitted for problems with diabetes.
User: larenwell
auc-roc-curve,The company has collected historical customer and claims data and wants to use it to develop a machine learning model that can predict whether a customer will file an insurance claim in the next year.
User: larenwell
auc-roc-curve,This project focuses on the development and evaluation of machine learning models to predict credit card application and crime rate.
User: larenwell
auc-roc-curve,Classification (Ranking) Clients Project
User: leassis91
auc-roc-curve,The objective of this capstone project is to use Natural Language Processing (NLP) to create a machine-learning model that predicts the quality of questions posted on Stack Overflow, a popular question-and-answer platform for software developers.
User: mahyarsab
auc-roc-curve,Analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build a predictive model that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.
User: marinagrimal
auc-roc-curve,Credit card transactions fraud detection using classic algorithms
User: mehrab-kalantari
auc-roc-curve,PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS
User: moindalvs
auc-roc-curve,Decision Tree classifier using Logistic Regression
User: nehapant14
auc-roc-curve,A two-stage predictive machine learning engine that forecasts the on-time performance of flights for 15 different airports in the USA based on data collected in 2016 and 2017.
User: nive927
auc-roc-curve,Machine Learning model on highly imbalanced dataset for preventive maintenance by identifying potential failures before they occur, thereby reducing downtime and maintenance costs.
User: osamaz123
auc-roc-curve,This project aims to study the influence factors of international students' mobility with the case of international students from B&R countries studying in China.
User: peijin0405
auc-roc-curve,INN Hotels Project
User: prneidhardt
auc-roc-curve,The project involves analyzing certain issues of customer churn faced by telecom companies. Models are required to be built so as to predict whether a customer will cancel their service in the future or not and then model comparison measures are made for taking interpretation and recommendations from the best model.
User: raghav19980730
auc-roc-curve,Performance Analysis of different ML classifiers for Cardiovascular disease classification
User: rajendranu4
auc-roc-curve,This repository contains code and documentation for a machine learning project focused on predictive maintenance in industrial machinery. The project explores the development of a comprehensive predictive maintenance system using various machine learning techniques.
User: riccardoprosdocimi
auc-roc-curve,A hotel chain is having issues with cancellations. This project analyzes customer booking data to identify which factors significantly influence cancellations, build models using logistic regression and decision trees to predict cancellations in advance, and help formulate profitable policies for cancellations and refunds for the hotel group
User: rudrachatterjee
auc-roc-curve,Supervised Classfication models - Logistic Regression & Decision Tree, AUC-ROC Curve
User: sandyy2505
auc-roc-curve,This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using knn.
User: sanjushasuresh
auc-roc-curve,This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using knn.
User: sanjushasuresh
auc-roc-curve,Predicting Customer Response to Telemarketing Campaigns for Term Deposit. Output variable Whether the client has subscribed a term deposit or not.
User: shanuhalli
auc-roc-curve,Data Visualization, Random Forest and AUC-ROC Curve
User: sharifulislamtushar
auc-roc-curve,The task is to predict the value of target column in the test set.
User: shreyaswankhede
auc-roc-curve,Analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build a predictive model that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds
User: uzoigwec
auc-roc-curve,This project presents and discusses data-driven predictive models for predicting the defaulters among the credit card users.About Data Cleaning,Exploratory Data Analysis ,Handling Class Imbalance, Transforming Data , Fitting Different Model ,Cross Validation & Hyperparameter Tunning, Comparison of Model ,Combined ROC Curve, Feature Impotance.
User: vikash2009
auc-roc-curve,Détecter les faux billets à partir du jeu de données englobant statistiques sur 6 caracthéristiques des billets
User: xfzhang-zoey
auc-roc-curve,Analytical tool to help the company decide whether the employee will stay or not
User: yashjshah
auc-roc-curve,The aim is to analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build predictive models(logisitic regression, decision trees) that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.
User: yemi-ak
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.