amansiwach868/titanic-survival-prediction

This repository contains a project focused on predicting Titanic passenger survival using machine learning techniques. It includes data analysis, feature engineering, and model evaluation to provide insights into survival rates. 🛠️📊

Language: Python - Size: 260 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

TorchEnsemble-Community/Ensemble-Pytorch

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

Language: Python - Size: 1.56 MB - Last synced at: 9 days ago - Pushed at: 12 months ago - Stars: 1,021 - Forks: 94

Spidy104/PPG_DIABETES_CLASSIFICATION

This repository provides a complete pipeline for non-invasive blood glucose estimation using Photoplethysmography (PPG) signals. It includes data preprocessing, feature extraction, machine learning model training, and result visualization to support research and development in biomedical signal analysis and diabetes screening.

Language: Jupyter Notebook - Size: 25.4 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

AstraBert/resistML

A tool for AMR gene family prediction, simple and ML-based

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: about 17 hours ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

havva-nur-ezginci/ML-Applications

💡This project involves the implementation of machine learning (ML) algorithms 💻🔍on various datasets.

Language: Jupyter Notebook - Size: 4.08 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

benedekrozemberczki/shapley

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

Language: Python - Size: 826 KB - Last synced at: 13 days ago - Pushed at: almost 2 years ago - Stars: 220 - Forks: 35

mkhekare/mulytics_masters_union_casecomp

Analysis aims to address the challenges faced by a leading broadband provider in optimizing lead conversion processes

Language: HTML - Size: 3.17 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

imharshag/NIDS-using-ML

This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats

Size: 105 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 9 - Forks: 1

jalajthanaki/Customer_segmentation

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 134 - Forks: 61

xndien2004/Multimodal-Sarcasm-Detection-for-UITC2024

The Multimodal Sarcasm Detection System detects sarcasm in multimedia content using image-caption generation and NLP. It achieved 1st place in UITC2024 by classifying sarcasm into four categories: image, text, multi sarcasm, and not sarcasm.

Language: Jupyter Notebook - Size: 654 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 15 - Forks: 2

Himel-Sarder/Voting-Assemble-Classifier-Tool

Voting Assemble is a web-based machine learning tool that allows users to upload datasets, select models, and create a voting ensemble to evaluate model performance.

Language: HTML - Size: 102 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

nano-bot01/Heart-Disease-Prediction-using-machine-and-deep-learning-techniques

Heart Disease Prediction using machine and deep learning techniques works on heart dataset

Language: Jupyter Notebook - Size: 1.32 MB - Last synced at: 26 days ago - Pushed at: 10 months ago - Stars: 6 - Forks: 1

FaraazArsath/Ensemble_techniques_breast_cancer_detection

Ensemble Learning Techniques - Breast Cancer Classification

Language: Jupyter Notebook - Size: 805 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

04bhavyaa/movie-genre-prediction

This project implements preprocessing, feature engineering, and multiple machine learning models to build a robust genre classification system.

Language: Jupyter Notebook - Size: 27.4 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

MohamedLotfy989/Credit-Card-Fraud-Detection

This repository focuses on credit card fraud detection using machine learning models, addressing class imbalance with SMOTE & undersampling, and optimizing performance via Grid Search & RandomizedSearchCV. It explores Logistic Regression, Random Forest, Voting Classifier, and XGBoost. balancing precision-recall trade-offs for fraud detection.

Language: Jupyter Notebook - Size: 3.39 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

StefanoBalbo/Voteview

Sharing with Political Economy students some results and opportunities offered by the analysis of the voteview.com database.

Language: R - Size: 9.93 MB - Last synced at: 4 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Naghan1132/Comparison-of-winners-of-elections-with-different-voting-methods

Compare the results of different voting methods

Language: Jupyter Notebook - Size: 27.2 MB - Last synced at: 4 days ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

fatimaAfzaal/Multiple-Ensemble-models-Diabetes-Prediction-Project-

This project focuses on predicting the likelihood of diabetes in individuals using ensemble machine learning models. It combines various ensemble techniques, including Random Forest, AdaBoost, Gradient Boosting, Bagging, Extra Trees, XGBoost, Voting Classifier and some others to get predictions.

Language: Jupyter Notebook - Size: 114 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

fatimaAfzaal/Diabetes-Prediction-Web-App

This repository contains the code for a web-based diabetes prediction application using a machine learning model. The application is built using Flask and allows users to input various health parameters to predict the likelihood of diabetes using ensemble voting classifier.

Language: HTML - Size: 866 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

atkamara/Taxability

Descriptive, predictive analysis of taxability

Language: Jupyter Notebook - Size: 48.2 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Pythondeveloper6/Ensemble-learning-beginner-guide

machine learning ensemble learning types in easy steps with examples

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

Ash0508/Amazon_ML_Summer_School_Loan-Prediction

I have experience in Supervised, Reinforcement, and Unsupervised Learning, with a focus on a loan prediction project using a Kaggle dataset. I trained and tested the model, achieving high accuracy through Python programming with Pandas, NumPy, and Matplotlib for data analysis and visualization. My primary development environment is Jupyter Notebook

Language: Jupyter Notebook - Size: 164 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

calistad/Patient_Staytime_Analysis

Help hospitals to identify patients who will stay longer at the time of admission.

Language: Jupyter Notebook - Size: 4.74 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

sayande01/Ensemble_Learning_ML

This project investigates ensemble learning techniques, combining multiple models to enhance accuracy and robustness. It covers both basic methods (Max Voting, Averaging, Weighted Averaging) and advanced techniques (Stacking, Blending, Bagging, Boosting), aiming to improve predictive performance by addressing model weaknesses.

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

dariak153/Comprasion_of_classifiers

The goal of this project was used advanced preprocessing and feature engineering. Achieved high accuracy with XGBoost and LightGBM. Deployed via a Django web application and visualization was presented using Dash and Plotly.

Language: Python - Size: 770 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

tporfiris/FraudDetectorVotingClassifier

Using a voting classifier machine learning ensemble model to detect credit card fraud.

Language: Python - Size: 2.03 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

infoTECH-Services0/Advanced-Online-Voting-System-in-PHP

KAYE is a dynamic platform designed to enhance the voting experience and empower citizens with the knowledge they need to make informed decisions at the polls. Accessible at https://afruvotes.000webhostapp.com/ this website offers comprehensive resources on election candidates, voting guidelines, and electoral processes.

Language: PHP - Size: 2.34 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Likhitha310/Heart-disease-detection-using-machine-learning

To detect heart disease using machine learning

Language: Jupyter Notebook - Size: 538 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

alfayoumy/COVID19-Detection

Supervised Algorithms For The Detection Of COVID-19 From Chest CT & X-ray Scan Images

Language: Jupyter Notebook - Size: 1.29 GB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

PulkitGigoo99/Cardiovascular_Disease_Prediction

A Machine Learning project for Cardiovascular disease prediction

Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

storytellingengineer/Bagging_vs_Boosting

Complete explanation of Bagging and Boosting with practical implementation

Language: Jupyter Notebook - Size: 39.1 KB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

SINGHxTUSHAR/SpamSlayer

This Project Predicts whether the Email/SMS is spam or ham by using the extensive knowledge of NLP and various ML Algorithms. Deployed on Streamlit & Herokuapp

Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: 19 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

KUANCHENGFU/Pitch-Type-Prediction

Language: Jupyter Notebook - Size: 439 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

LaurentVeyssier/Top-classifiers-for-Employee-attrition-problem

Explore various classifier to predict which employee is likely to quit

Language: Jupyter Notebook - Size: 928 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

AstraBert/VirBiCla

A novel ML-based binary classifier to tell viral and non-viral long reads apart in metagenomic samples.

Language: Python - Size: 49.1 MB - Last synced at: about 17 hours ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

jodiambra/State-Farm

Showcasing data science skills for a dataset provided by State Farm for a coding interview.

Language: Jupyter Notebook - Size: 33.4 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

NilayGaitonde/Email-Classifier

A simple binary email classifier that classifies emails into spam and ham and also performs topic modelling using LDA

Language: Jupyter Notebook - Size: 34.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ayomidee-e/email-classification

A machine learning model that predicts whether an email is spam or not.

Language: Python - Size: 170 KB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 2

RimTouny/Phishing-Attack-Detection-using-Machine-Learning

Advancing Cybersecurity with AI: This project fortifies phishing defense using cutting-edge models, trained on a diverse dataset of 737,000 URLs. It was the final project for the AI for Cybersecurity course in my Master's at uOttawa in 2023.

Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ssjky6/Stroke-Predictor

Stroke Prediction App

Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

hikmatullah-mohammadi/multi-class-cirrhosis

Kaggle Playground Series - Season 3, Episode 26 - Multi-Class Cirrhosis | EDA | MI-Score | Feature Engineering

Language: Jupyter Notebook - Size: 2.52 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

TzeLun/UnderstandingVotingClassifiers

A visual approach to understand the beauty of voting classifiers

Language: Python - Size: 1.07 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sahildigikar15/Personalized-Cancer-Redefining-Cancer-Treatment-

Classify the given genetic variations/mutations based on evidence from text-based clinical literature.

Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

RoccoJay/Audio_to_Emotion

Classifying Audio to Emotion

Language: Jupyter Notebook - Size: 437 MB - Last synced at: 7 months ago - Pushed at: over 5 years ago - Stars: 27 - Forks: 3

SaraLittleSquirrel/Obesity-estimator

Project for Machine Learning Data Mining course

Language: Jupyter Notebook - Size: 5.63 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jadanpl/Water-Potability-Prediction

Using Using voting classifier as the final model to predict water potability.

Language: Jupyter Notebook - Size: 32 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

devpatel0612/Personalized-Cancer-Diagnosis

Using classical machine learning techniques for classifying the data into 9 classes which can be further used for cancer detection.

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

thefirebanks/Ensemble-Learning-for-Tweet-Classification-of-Hate-Speech-and-Offensive-Language

Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting

Language: Python - Size: 31.4 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 24 - Forks: 3

Architectshwet/Loan-prediction-using-Machine-Learning-and-Python

To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib

Language: Jupyter Notebook - Size: 346 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 29 - Forks: 58

alifrmf/Mobile-Price-Prediction-Classification-Analysis

Supervised Machine Learning Analysis Using Classification Models

Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 12 - Forks: 1

sharmaroshan/Titanic-Passenger-Survival-Prediction

Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami.

Language: Jupyter Notebook - Size: 87.9 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 3

Allen-Ho-0302/Pitch-Type-Prediction

In this research I worked with a subset of pitch-level data. The goal was to develop a framework capable of predicting pitch types. The pitch types include Fastball , Curveball, Slider and Changeup.

Language: Jupyter Notebook - Size: 218 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

rgcollar/telecom-churn-prediction

Telecom churn prediction using a voting classifier

Language: Jupyter Notebook - Size: 514 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

trushnes/Heart-Disease-Prediction

Voting Classifier and Artificial Neural Network for predicting heart disease.

Language: Jupyter Notebook - Size: 278 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

brian-kipkoech-tanui/binaryclassification

Classification

Language: Jupyter Notebook - Size: 895 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Menahil-Naseer/Diabetes-Prediction-using-Multiple-Ensemble-Models

This is a Machine learning project trained for Diabetes Prediction using Multiple Ensemble models like Random Forest, Ada boost, cat boost and a few more. It is trained on the Pima Indian Diabetes Dataset.

Language: Jupyter Notebook - Size: 175 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Ch-Jameel/Classification-modeling-work-using-SVC-KNN-DT-etc

Welcome to our Classification Modeling Project! In this project, we've employed various machine learning algorithms and techniques to solve a classification problem.

Language: Jupyter Notebook - Size: 1.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nerminsamet/houghnet

[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.

Language: Python - Size: 1.94 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 169 - Forks: 16

Bharati2301/Comparative-study-of-various-Classification-Algorithms-in-Machine-Learning

Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Bharati2301/Algorithms

Language: Jupyter Notebook - Size: 648 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Katy-katy/Document-Classification

Document Classification using Python and scikit-learn and nltk

Language: Python - Size: 972 KB - Last synced at: almost 2 years ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 0

GunturWibawa/TelecomChurnPrediction

Interconnect seeks to forecast customer churn by analyzing package choices and contracts. If a customer plans to leave, they're offered unique codes and special packages to foster loyalty.

Language: Jupyter Notebook - Size: 2.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Mehrab-Kalantari/SMS-Spam-Classifier

Building spam classifier using different algorithms and choosing the best one to build a streamlit application

Language: Jupyter Notebook - Size: 1.45 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Srinath-13/Hit-Song-Prediction

A machine learning workflow to effectively predict the hit rate of a song, given its various parameters owing to acousticness to danceability.

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

brunograssano/TP-Organizacion-de-datos

TPs de la materia Organización de Datos - Catedra Collinet - FIUBA - 2C2020

Language: Jupyter Notebook - Size: 8.15 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

Kunal-Attri/Iris-Species-Classification

Iris Species Classification usin various ML models.

Language: Jupyter Notebook - Size: 691 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

AhmedAbdAlkreem/Diabetes

Complete project of people that have diabetes and show what features that explain that person be sick.

Language: Jupyter Notebook - Size: 114 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

jodiambra/Film-Junky-Union-Sentiment-Analysis

We built a model for Film Junky Union to detect negative reviews.

Language: Jupyter Notebook - Size: 6.81 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

francaisse/DMWL-CW2

Voting Ensemble & Stock Prediction - Project Submission for Data Mining & Machine Learning Module

Size: 1000 Bytes - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Mohammad8921/HayesRoth

A voting classifier based on decision tree arch.

Language: Jupyter Notebook - Size: 327 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

awinml/amex-default-classification

Classification model to predict the probability that a customer defaults based on their monthly customer statements using the data provided by American Express.

Language: Jupyter Notebook - Size: 3.49 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

yashjadwani/Car_Insuarance_claim_prediction

This repository contains a Jupyter Notebook that uses machine learning algorithms to predict whether a customer is likely to make a claim on their car insurance policy in the next 6 months.

Language: Jupyter Notebook - Size: 3.09 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Nidhinsanju/nidhinsanju.1

Intrusion detection using SVM,KNN,RF and then creating a ensemble model by using voting classifier and showing the results in a graph. Confusion matrix for the SVM,KNN,RF are show which shows the value . IT is done Using the supervised Machine Learning algorithms

Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Deepanivasini/Analysis-of-Liver-Disease-Using-Deep-Learning-Methodology

Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Bless1004/Capstone_Projects_ML

1. Diabetes Prediction Using Ensemble Techniques 2. Customer Segmentation Using RFM & K-Means 3. Market Basket Analysis

Language: Jupyter Notebook - Size: 21.8 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

Prashant-Singh112/Malicious_URL_Detection

Detecting Malicious URLs using hybrid ensemble learning model

Language: Jupyter Notebook - Size: 3.12 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Arinjay11020/Capstone-Speech-Sentiment-Analysis

A model build on RAVDESS dataset, for speech emotion recognition. 85.59% validation accuracy

Language: Jupyter Notebook - Size: 1.98 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

Jspano95/Retail-Customer-Classification-Modelling

Classification ML models for predicting customer outcomes (namely, whether they're likely to opt into email / catalog marketing) depending on customer demographics (age, proximity to store, gender, customer loyalty duration) as well as sales and shopping frequencies by department

Language: Jupyter Notebook - Size: 813 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

sachin17git/Malware-detection-ML

Android malware detection using machine learning.

Language: Jupyter Notebook - Size: 8.81 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

laxmi999/phishing-detection-using-voting-classifier

Language: Jupyter Notebook - Size: 2.92 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

etetteh/production_ml

Language: Python - Size: 35.2 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

oguzerdo/diabetes-prediction-ml-pipeline

Develop a machine learning model that can predict whether people have diabetes when their characteristics are specified

Language: Jupyter Notebook - Size: 7.12 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

abduliante/vehicle-default-loan-prediction

Forecasting the likelihood of a customer defaulting their auto loan using classification models

Language: Python - Size: 69.7 MB - Last synced at: 5 days ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

AnveshaM/Predicting_Customer_Churn_Neural_Network

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

Language: HTML - Size: 1.5 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

cong-khai-nguyen/titanic-survival

Titanic

Language: Python - Size: 85.9 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

gilzeevi25/smartech

a short assignment on classification of small dataset.

Language: Jupyter Notebook - Size: 983 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

RadhikaRanasinghe/Meraki

A mobile application that diagnoses Parkinson’s disease patients using hand drawings

Language: Python - Size: 246 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 0

ahhninjas/SXSW-2018-Rock-The-Poll

Rock The Poll: A SXSW Hackathon Entry 2018

Language: HTML - Size: 23.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

Pradnya1208/Voting-Classifier

The aim of this project is to predict survival on the Titanic and get familiar with ML basics.

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Pradnya1208/Bank-customers-churn-prediction

our goal for this project is to predict the churn probability of a customer using machine learning classification techniques.

Language: Jupyter Notebook - Size: 3.23 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

bhattbhavesh91/voting_classifier_sklearn

A simple demo on how voting classifier is implemented in sklearn python

Language: Jupyter Notebook - Size: 18.6 KB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

jeevankande/Ensemble-Techniques

Ensemble methods is a machine learning technique that combines several base models in order to produce one optimal predictive model. To better understand this definition lets take a step back into ultimate goal of machine learning and model building. This is going to make more sense as I dive into specific examples and why Ensemble methods are used.

Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

AliMufeed/Bank_Loan_term_prediction

Classification Project for SDAIA T5 Data Science Bootcamp. This project will choose the best classification model to predict whether a loan is a short-term loan or a long-term loan, based on some features.

Language: Jupyter Notebook - Size: 4.81 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

jhan15/machine_learning_challenge

It's a machine learning programming challenge to achieve the best accuracy on a test dataset.

Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

natmurad/telecomchurn

Churn Analysis

Language: HTML - Size: 3.32 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

zaidaziz86/GA-Project-5

This is a Group Project focused on using The CCES Congressional polling dataset, to predict which party a Californian voter will vote for.

Language: Jupyter Notebook - Size: 29.2 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

haimgoldfisher/Data_Visualization_Final_Project

Final project of the Data Visualization course, Ariel university.

Language: Jupyter Notebook - Size: 139 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

nishantuzir/neural-network-based-weighted-blending-mechanism

This is a weighted blending machine implemented using a neural network. The advantage of using a neural network is that the weights assigned to the models for the final result is assigned by the neural network based on backpropagation.

Language: Python - Size: 26.4 KB - Last synced at: 7 months ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 1

olahsymbo/booking-prediction

Language: Python - Size: 14.6 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

philsaurabh/Parkinson-Disease-Ensemble-Learning

To implement an Ensemble Classifier of Logistic regression, Naive Bayes & Decision Tree. The goal is to implement a classification model to predict the “Status” feature in the provided Parkinson dataset.

Language: Jupyter Notebook - Size: 375 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0