virajbhutada/Titanic-Survival-Prediction-ML

ML project focused on predicting Titanic passenger survival using various algorithms and extensive data analysis techniques. This project includes detailed data visualization and interpretation to uncover key factors affecting survival. By leveraging various ML models the analysis aims to achieve high predictive accuracy.

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AnxiousCodeGeek/heartAttack-modelEvaluation

Performed model evaluation using evaluation metrics such as accuracy, precision, recall, F1-score etc. Then model interpretation using feature importance, SHAP and LIME. Finally , evaluated model robustness and stability through techniques like bootstrapping or Monte Carlo simulations.

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AnveshaM/Predicting_Customer_Churn_Neural_Network

A Comparative Study in Customer Churn Prediction through Multilayer Perceptrons and Support Vector Machines

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zzhanghub/eval-co-sod

PyTorch-Based Evaluation Tool for Co-Saliency Detection

Language: Python - Size: 65.4 KB - Last synced: 7 days ago - Pushed: over 3 years ago - Stars: 92 - Forks: 28

antononcube/WL-ROCFunctions-paclet

Wolfram Language (aka Mathematica) paclet for Receiver Operation Characteristic (ROC) functions.

Language: Mathematica - Size: 443 KB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

louis-she/center-loss.pytorch

center loss for face recognition

Language: Python - Size: 2.44 MB - Last synced: about 2 months ago - Pushed: over 3 years ago - Stars: 174 - Forks: 39

alexandrerobingit/Scoring-on-R

You can find exercises and codes realized during this lecture

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omercelik-cs/biometric-system-performance-evaluation

Language: Python - Size: 2.87 MB - Last synced: about 2 months ago - Pushed: almost 6 years ago - Stars: 2 - Forks: 1

raquelcolares/machine_learning_UFMG

My repository of Machine Learning by UFMG

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AmirMotefaker/Analysis-of-Hotel-Customer-Sentiments

Sentiment analysis is part of the NLP techniques that consists in extracting emotions related to some raw texts.

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sid83/BankLoadData_MLmodel

Random forest classifier model applied to a bank loan data to predict loan defaulters.

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Thie1e/cutpointr

Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification

Language: R - Size: 11.3 MB - Last synced: 18 days ago - Pushed: about 2 years ago - Stars: 83 - Forks: 13

Honey28Git/Machine-Learning

The folliwing ML project involves EDA analysis of Election Dataset, Data preparation for modelling, and prediction using ML models. Also Text Analysis on the inaugral corpora from nltk to analyse the most frequently used words in Presidents' Speeches.

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xrobin/pROC

Display and analyze ROC curves in R and S+

Language: R - Size: 2.06 MB - Last synced: 27 days ago - Pushed: 3 months ago - Stars: 114 - Forks: 31

liangyy/silver-standard-performance

A light and flexible R package to evaluate GWAS-based gene prioritization methods for complex traits.

Language: R - Size: 4.29 MB - Last synced: 3 months ago - Pushed: over 4 years ago - Stars: 3 - Forks: 3

dformoso/sklearn-classification

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

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SeyedMuhammadHosseinMousavi/BodyMotionClassification

Language: Python - Size: 4.64 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0

pkiage/tool-credit-risk-modelling

Tool demonstrating building credit risk models

Language: Python - Size: 487 KB - Last synced: 3 months ago - Pushed: about 1 year ago - Stars: 4 - Forks: 3

milosz08/roc-curve-visualizer 📦

Desktop application helping with TPR/FPR calculations and visualize ROC curve based provided parameters.

Language: C# - Size: 87.9 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

metriculous-ml/metriculous

Measure and visualize machine learning model performance without the usual boilerplate.

Language: Python - Size: 3.45 MB - Last synced: 27 days ago - Pushed: 5 months ago - Stars: 95 - Forks: 11

MehrabKalantary/Credit-Card-Fraud-Detection

Credit card transactions fraud detection using classic algorithms

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nssharmaofficial/Binary-classification-Tumor-vs.-Infection

Classification of spondylodiscitidis vs metastasis in the spine using multiple approaches in R

Language: R - Size: 1020 KB - Last synced: 5 months ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

Santosh2611/Heart-Disease-Prediction-Using-Machine-Learning

Develop a heart disease prediction system that can assist medical professionals in predicting heart disease status based on the clinical data of patients.

Language: Python - Size: 19.6 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

adarshsankarrs/Spotify-Data-Analysis---RF-vs-MLP-Study

The project involves using machine learning techniques, like RandomForestClassifier and MLP, to predict whether a song will be popular or not based on its acoustic features. The input consists of various acoustic and metadata features, while the output is a binary classification.

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Cintia0528/Project-7-Supervised-Machine-Learning-Classification-Mushrooms

This project aims to identify the inevitable trade-off between accuracy and safety when predicting poisonous mushrooms with ML.

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MariaDimopoulou/Churn-Prediction-Customer-Segmentation-in-E-Commerce

This project focuses on predicting customer churn in an e-commerce setting using machine learning techniques.

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nielsxklesper/Machine_Learning_Challenge

Our group project aimed to evaluate three predictive machine learning classification models to anticipate whether website visitors engage in transactions. This is done by analysing different attributes of website visitors including duration spent on different web pages, click rates, and bounce rates.

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SerenaRosi/SerenaRosi

SerenaRosi's GitHub page

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dominic-sagers/Exploring-Basics-of-Machine-Learning

This repository contains many jupyter notebooks and output printouts chronicling my learning of basic Machine Learning concepts.

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uhkniazi/CCrossValidation

Class to perform cross validation and draw ROC curves for Test and Training data

Language: R - Size: 39.1 KB - Last synced: 8 months ago - Pushed: over 5 years ago - Stars: 0 - Forks: 1

FatemehGholamzadeh/Machine-Learning

Assignments of Machine Learning Graduate Course - Spring 2021

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aparajitad60/Room-Occupancy-Detection-Using-Sensor-Data-and-Evaluate-Machine-Learning-Models-with-Yellowbrick

Evaluation of Machine Learning Models with Yellowbrick

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vaitybharati/P28.-Supervised-ML---Logistic-Regression---Appointing-Attorney-or-not

Supervised-ML---Logistic-Regression---Appointing-Attorney-or-not. EDA, Model Building, Model Predictions, Testing Model Accuracy, ROC Curve plotting and finding AUC value.

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vaitybharati/Logistic-Regression

Logistic-Regression

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vaitybharati/Assignment-06-Logistic-Regression

Assignment-06-Logistic-Regression. Output variable -> y y -> Whether the client has subscribed a term deposit or not Binomial ("yes" or "no") Attribute information For bank dataset Input variables: # bank client data: 1 - age (numeric) 2 - job : type of job (categorical: "admin.","unknown","unemployed","management","housemaid","entrepreneur","student", "blue-collar","self-employed","retired","technician","services") 3 - marital : marital status (categorical: "married","divorced","single"; note: "divorced" means divorced or widowed) 4 - education (categorical: "unknown","secondary","primary","tertiary") 5 - default: has credit in default? (binary: "yes","no") 6 - balance: average yearly balance, in euros (numeric) 7 - housing: has housing loan? (binary: "yes","no") 8 - loan: has personal loan? (binary: "yes","no") # related with the last contact of the current campaign: 9 - contact: contact communication type (categorical: "unknown","telephone","cellular") 10 - day: last contact day of the month (numeric) 11 - month: last contact month of year (categorical: "jan", "feb", "mar", ..., "nov", "dec") 12 - duration: last contact duration, in seconds (numeric) # other attributes: 13 - campaign: number of contacts performed during this campaign and for this client (numeric, includes last contact) 14 - pdays: number of days that passed by after the client was last contacted from a previous campaign (numeric, -1 means client was not previously contacted) 15 - previous: number of contacts performed before this campaign and for this client (numeric) 16 - poutcome: outcome of the previous marketing campaign (categorical: "unknown","other","failure","success") Output variable (desired target): 17 - y - has the client subscribed a term deposit? (binary: "yes","no") 8. Missing Attribute Values: None

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marcotav/supervised-machine-learning

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using Lasso and Ridge regressions.

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claudineien/youtube-recommender-machine-learning

Data Science : Youtube Vídeo Recommender on Python with youtube-dl. Predictive models with: DecisionTreeClassifier, RandomForestClassifier, TfidfVectorizer.

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RRafiee/SurvivalAnalysis

Survival modelling using Cox proportional hazard regression model

Language: R - Size: 21.5 KB - Last synced: 8 months ago - Pushed: about 7 years ago - Stars: 2 - Forks: 2

ShoupingShan/Hyperspectral-image-target-detection-based-on-sparse-representation

Hyperspectral image Target Detection based on Sparse Representation

Language: Matlab - Size: 49.9 MB - Last synced: 8 months ago - Pushed: almost 6 years ago - Stars: 63 - Forks: 27

alexandrumonahov/mewto

mewto is an R package that allows you to experiment with different thresholds for classification of prediction results in the case of binary classification problems and visualize various model evaluation metrics, confusion matrices and the ROC curve. It also allows you to calculate the optimal threshold based on a weighted evaluation criterion.

Language: R - Size: 62.5 KB - Last synced: 8 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

indradhar/Cross-Selling-Insurance-Products

Cross Selling Insurance Products using machine learning algorithms

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indradhar/Football-Player-Price-Prediciton

Predicting the price of a football player using Machine Learning Algorithms

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omogbolahan94/Customer-Churn-Prediction

This project demonstrates how to build a logistic regression model and understanding the evaluation metrics to determine if the model is performing well or not

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spChalk/Vaccine-Sentiment-Classifier

:syringe: Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

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saksham1210/CSE-343-Machine-Learning

Assignments of the course

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taniyariar/Kaggle-Digit-Recognizer

Kaggle Competition - Digit Recognizer

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Marcus-V-Freitas/diabetes-decteccao-classificacao

Prever se um paciente tem diabetes utilizando algoritmos de classificação binárias.

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atakan1001/Machine-Learning-Algorithms

Fundamental ML Algorithms in Python

Language: Python - Size: 837 KB - Last synced: 11 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

Marcus-V-Freitas/Anomaly-Detection

PCA randômica aplicada na detecção de anomalias

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aaolcay/Multi-Task-Learning

This repository includes a multi-task learning example on the face images to classify the genders and races of people. The dataset is from the Kaggle.

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nikhil-188/BankruptcyPrediction

Our project aims to utilize machine learning techniques for bankruptcy prediction, leveraging data analysis and predictive models to forecast the likelihood of a company experiencing financial insolvency.

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pajaskowiak/clusterConfusion

Clustering validation with ROC Curves

Language: R - Size: 1.19 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 5 - Forks: 0

Siddharth1989/JobChangePrediction

This project aims to create a classifier that can predict whether or not a candidate will change their job by using historical data on candidate demographics and details about their education and experience using different classification machine learning models.

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iamkirankumaryadav/Classification

Classification Model (End to End Classification of Heart Disease - UCI Data Set)

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anushreeshuk/info370-finalproject Fork of jlibman/info370-finalproject

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JitalEn/LeadScore

Lead scoring case study

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ozturkfemre/classification

R | Classification Project

Language: R - Size: 390 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

Mr-TalhaIlyas/Evaluation-Metrics-Package-Tensorflow-PyTorch-Keras

ML/CNN Evaluation Metrics Package

Size: 2.45 MB - Last synced: about 1 month ago - Pushed: almost 2 years ago - Stars: 9 - Forks: 2

anthonyc1/FakeNewsClassifier

Machine learning models to classify news datasets as real or fake

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Bharat-Reddy/Bank-Marketing-Analysis

The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit.

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behnamy2010/Face-Detection-with-Bayesian

Face Detection with Bayesian Decision Theory

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ivonajdenkoska/face-recognition-algorithms

Face recognition, tackling three different "old-school" Computer Vision techniques - as part of the Biometrics System Concepts course @ KU Leuven

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nssharmaofficial/Binary-classification-in-medicine

Classification of spondylodiscitidis vs metastasis in the spine using Neural Networks

Language: Python - Size: 2.41 MB - Last synced: 5 months ago - Pushed: over 1 year ago - Stars: 4 - Forks: 1

Simon-157/AI-final-project

A comprehensive data science project for analysing eCormmerce and online shops data for possibility to enegage customer retention to increase purchases. Trained and comprehensively evaluated machine learning models using different algorithms and tuning procedures.

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stefmolin/ml-utils

Machine learning utility functions and classes.

Language: Python - Size: 230 KB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 9 - Forks: 10

11808s8/python-neural-network

A simple neural network with backpropagation used to recognize ASCII coded characters

Language: Python - Size: 6.12 MB - Last synced: over 1 year ago - Pushed: over 4 years ago - Stars: 4 - Forks: 0

CElabls/python-roc

ROC visualization tool for multi-class data

Language: Python - Size: 157 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

KrishArul26/Password-Strength-Prediction-Deployment

This repository, focus on password strength prediction. I have created an SVM model to classify whether password strength or medium or weak. After training the model, It has deployed on the Heroku platform.

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LeihuaYe/Machine-Learning-Rare-Event-Classification

With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

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anandanraju/Monkey_Pox_Classification_Model-

This Prediction is a research analysis process on data using classification algorithms to compare the accuracy rate for each algorithm given below on this Monkey Pox data such as ( K-Neighbors Classifier, RandomForest Classifier, AdaBoost Classifier, Bagging Classifier, Gradient Boosting Classifier, Decision Tree Classifier )

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corinnastrada/rice_classification

Size: 703 KB - Last synced: 12 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

KTong06/SentimentAnalysis

A two layered LSTM model to solve binary classification problem (positive and negative movie review)

Language: Python - Size: 11 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

MaimoonaKhilji/Evaluation-Parameters-Rapidminer

Size: 312 KB - Last synced: 11 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

SukanyaPa/Assignment-06.-Logistic-Regression

Used libraries and functions as follows:

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Rajendramahesh/titanic-dataset

EDA ,data-Pipelines, Randamforest, ROC curve

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Alluru-Sumaneesh/Healthcare

Healthcare

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abichat/evabic

Evaluation of Binary Classifiers

Language: R - Size: 1.01 MB - Last synced: 7 months ago - Pushed: almost 2 years ago - Stars: 6 - Forks: 1

Kovenda/randomForest-Breaking-CAPTCHA-Security-Codes

To test if CAPTCHA secure login security codes are secure from bot attacks I developed a Random Forest classifier model in Python using Scikit-learn to predict the CAPTCHA codes. Predicted over 40,000 CAPTCHA codes with an accuracy above 97%.

Language: Python - Size: 542 KB - Last synced: over 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

Kovenda/R-Shiny-App-to-predict-Factors-Affecting-Survival-of-CHD

R Shiny App to determine the factors that are most influential in patients’ survival of CHD. I created a Logistic Regression model in R using RStudio to predict the survival of CHD patients. Retrieved the data from the PHIS database using SQL & built tableau dashboards. The model predicted the survival of CHD with an AUC of over .90 and indicated that a higher EF % is a major factor.

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siyamabu/Vinho-Verde-Wine

What makes fine wine? The main goal of this investigation is to examine which physicochemical features of wine provide the most information about its quality.

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apetsiuk/Multivariate-Gaussian-Hypothesis-Testing

Two-Dimensional Data Whitening and Receiver Operational Characteristic Determination

Language: MATLAB - Size: 158 KB - Last synced: over 1 year ago - Pushed: about 5 years ago - Stars: 1 - Forks: 0

serdarakyol/handle-unbalanced-data

How Handle extremely unbalanced data

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gmserranoe/CSC597

Statistical Learning with Applications in R

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newtonsgrandson/ROC-graph-for-multiclassification-with-using-logistic-regression

Creating ROC graph for every target on data

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chinmayeeguru/Lead-Scoring-Logistic-Regression-Model

To predict which customer is most likely to convert

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difuture-lmu/dsROCGLM

ROC-GLM for DataSHIELD

Language: R - Size: 306 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 0

imane-ayouni/US-Airline-Twitter-Sentiment-Analysis

NLP and Classification techniques to analyze the sentiment in tweets

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memudualimatou/LOAN-STATUS-LOGISTIC-REGRESSION

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kirralabs/data-process

Learning how to process data

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eeddaann/data-mining-project

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Fant1k34/Covid_Detection

Сегментация КТ-снимков лёгких для выявления поражения тканей от COVID-19 на основе глубоких свёрточных нейронных сетей

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Myrto-Iglezou/Sentiment-classifier-RNN

Different kinds of sentiment classifiers are developed using bidirectional stacked RNN with LSTM/GRU cells for the Twitter sentiment analysis dataset.

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Zauverer/income-determination

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SmartNamDevoloper/Logistic_Regression

This is a project demonstrating Logistic Regression method using Python. An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.

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naveenjujaray/Eruption

Predicting the volcanic eruption using ML Algorithms.

Language: Python - Size: 19.6 MB - Last synced: about 1 month ago - Pushed: about 3 years ago - Stars: 1 - Forks: 1

hailiang-wang/evaluate_metric

simple script for plotting precision recall curves

Language: Python - Size: 76.2 KB - Last synced: about 2 months ago - Pushed: over 6 years ago - Stars: 1 - Forks: 0

druglogics/druglogics-roc

Shiny app for generation of ROC curves

Language: R - Size: 621 KB - Last synced: over 1 year ago - Pushed: about 3 years ago - Stars: 0 - Forks: 1

Priyank31/Vehicle-Insurance-Predictor Fork of yashpatel301/Vehicle-Insurance-Predictor

Vehicle Insurance Prediction is a Machine Learning Project used to predict the Customer's response to buy vehicle insurance.

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AkashSDas/predict-hr-stay-or-leave

Sampling unbalanced dataset using SMOTE and creating a classifier to classify if a HR will stay or leave.

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alesouzaeu/DS_portifolio

Ciência de Dados

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