gradient-boosting-classifier | Topic

Topic: "gradient-boosting-classifier"

MUHAMMADAKMAL137/Optuna-based-Hyperparameter-Optimization-for-Machine-Learning-Models-Static-and-Dynamic-Tuning

This Optuna-based hyperparameter optimization study performs both static and dynamic tuning of hyperparameters for machine learning models (SVM, RandomForest, and GradientBoosting) to maximize accuracy. It tracks and analyzes model performance, displays the best trial results, and compares the average performance of each classifier.

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hdangle31/DS-Machine-Learning-Flights-2022

Predict Flight Cancellation Using Random Forest, XGBoost, Logistic Regression and Naive Bayes

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anushrey10/Fuel_Efficiency_Predictor

Welcome to the Fuel Efficiency Predictor! This advanced tool uses machine learning to predict your vehicle's fuel efficiency based on various characteristics.

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mazerunner1001/Breast-Cancer-Diagnosis-from-Thermal-Images

genetic algorithms and machine learning techniques to diagnose breast cancer from thermal images by distinguishing between cancer-positive and healthy cases.

Language: Jupyter Notebook - Size: 74.2 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

djdhairya/Liver-Disease-Classification

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Riciokzz/Spaceship-Titanic

Spaceship Titanic project.

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Ananyajain2004/Fake-news-detection

A python project for detecting fake news using machine learning algorithms.

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gustavoeso/PhishingURL-predictive-model

Projeto de Machine learning para desenvolver um modelo preditivo de busca de email que potencialmente seja phishing. Esse projeto foi desenvolvido no DataBricks, utilizando cluster voltado a MachineLearning.

Language: Jupyter Notebook - Size: 297 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

astroarth/AI_use_cases

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nageswarik29/Fake-News-Detection

This project focuses on detecting fake news using machine learning algorithms such as Logistic Regression, Decision Tree Classifier, Random Forest Classifier, and Gradient Boost Classifier. It preprocesses text, extracts features with TF-IDF, and evaluates performance using accuracy, precision, recall, F1 score, and support.

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anushkundu/Churn-Prediction

Telecom Customer Churn Prediction Using Machine Learning!

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BeheshteSadeghi/ChurnModelling

This project aims to train the best model for predicting customer churn. In this project; first, data is studied and several diagrams are depicted for storytelling. Since we face with unbalanced data, categorical data, outliers, unscaled data and ecxess of features, related packages from python is utilized to prepare data for modelling.

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BeheshteSadeghi/TitanicSurvivalPrediction_PycaretPipelineGridSearchCV

The focus of this project is on Data Cleaning, Data Analysis, Gaining an insight from Pycaret Classification tool over best ML algorithms, hyperparameter tuning through GridSearchCV for top ML algorithms and generating Pipeline for the best algorithm.

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bennettbDEV/GradientBoostingv2

Information and implementation of Gradient Boosting, a flexible and performant Machine Learning technique

Language: Python - Size: 2.97 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

reillyc421/Predict-Post-shelter-Outcomes-for-Dogs

Use classification models to predict post-shelter outcomes for dogs (adoption, euthanasia, rescue)

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meAnubhav/Kidney-Disease-Prediction-Model

A machine learning application, deployed using Flask, is designed to identify the presence of kidney disease in patients by analyzing various medical features.

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wlouer/HCR_000002_Parkinsons

Parkinson's Disease Diagnosis Prediction using an evaluation of classification algorithms.

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wlouer/HCR000001_BreastCancer

Exploratory Data Analysis and selection of a Classification Algorithm to predict a Breast Cancer Diagnosis

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Mqtth3w/AI-unipr

Project for AI. Model to check password security with five classes: "Too weak", "Weak", "Moderate", "Strong", "Very strong". Developed in 2024 with @SasyXk

Language: Python - Size: 14 MB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

rockett-m/JPMC-Quant-Research

JPMorgan Quant Research program

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vignesh4005/Crowdfunding_Campaign_Success_Prediction

This project aims to predict the success of crowdfunding campaigns using machine learning models: Ensemble Learning, Naive Bayes, and Support Vector Machine (SVM).

Language: Jupyter Notebook - Size: 370 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ergineeer/HeartAttackPrediction

Heart Attack Prediction Study - Python & MATLAB

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phalconVee/telco-churn-ai-ml

Predictive models to analyse a telco firm's customer-level data, to identify customers at high risk of churn and identify the leading indicators.

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emma-horton/Leveraging-Machine-Learning-to-Predict-Liver-Cirrhosis-Outcomes-from-Clinical-Data

Predicting liver cirrhosis outcomes using machine learning models based on clinical data.

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kapasitejas/Telecom_Churn_Case_Study

To predict if a customer will churn, given the ~170 columns containing customer behavior, usage patterns, payment patterns, and other features that might be relevant. Your target variable is "churn_probability"

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FYT3RP4TIL/Fake-News-Detection-V4-Gensim-GoogleNews300

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FYT3RP4TIL/NewsClassify-V2-Spacy-WordEmbeddings

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filsan-musa/Project-Twitter_Bot_Detection

Using a synthetic dataset from Kaggle, generated with Python's Faker library to mimic real Twitter data, we train several classical machine learning models (ie. classical classification algorithms, as well as ensemble methods)to identify bots from real users.

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CarbezonKARDE/Heart-Attack-Analysis-and-Prediction

A small demonstration of my knowledge of machine learning algorithms.

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Ehtisham33/Diabetes-Prediction

This project aims to predict whether a person has diabetes or not using key health metrics such as glucose levels and BMI. The project involves data preprocessing, feature selection, model training, evaluation, and prediction using various machine learning algorithms.

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prajwalp3/Cardiovascular-Disease-prediction-using-Machine-learning-models

Our project utilizes machine learning models to predict cardiovascular diseases (CVDs) by analyzing diverse datasets and exploring 14 different algorithms. The aim is to enable early detection, personalized interventions, and improved healthcare outcomes.

Language: Jupyter Notebook - Size: 575 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Ezgigunbatar/FertilityStudy

This is a master thesis project done by Ezgi Günbatar for Applied Data Science program at Utrecht University. The repository contains datasets and codebooks which are used in "The Role of Social Networks and Personal Characteristics in Shaping Fertility Intentions: A Multi-Method Machine Learning Perspective" study.

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hugohiraoka/Travel_Package_Purchase_Prediction

Model to Predict if a customer will purchase a Travel Package

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sanhiitaa/fastag-fraud-detection-classification

Fastag Fraud Detection Classification System

Language: Jupyter Notebook - Size: 3.38 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sayadennis/classical-ml

Simple and flexible classical ML module that can be used for recording baseline ML performance.

Language: Python - Size: 78.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

SophiaRazzaq/Landslide-Insights-and-Prediction

Machine Learning

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MohamedKhalidLx/Loan-Eligibility-Prediction-Web-App

Loan Eligibility Prediction Model: A machine learning application to predict loan approval based on applicant data. Includes a web interface for submitting loan applications and receiving predictions. Built with Python and Jupyter Notebook.

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NishraMahveen/A-Robust-Approach-for-Effective-Spam-Detection-using-Supervised-Learning-Technique

This project detects spam messages in SMS, including those written in regional languages typed in English. It uses an extended SMS dataset and applies the Monte Carlo method with various supervised learning algorithms to improve spam detection.

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MatteoLucas/Rakuten_Data_Challenge

Ce projet est une proposition de solution au Rakuten Data Challenge. L'objectif est de mettre en œuvre différentes méthodes de Machine Learning et Deep Learning pour résoudre le problème.

Language: Python - Size: 2.77 GB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sayande01/Fake_News_Prediction_Machine_Learning

This project evaluates logistic regression, random forest, decision tree, and gradient boosting classifier models for fake news detection. Using labeled data, it analyzes accuracy, confusion matrices, and ROC curves to understand each model's effectiveness in discerning between real and fake news.

Language: Jupyter Notebook - Size: 819 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tranhlok/titanic

Titanic Kaggle

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MaxiRuess/ML_101

Different ML Algorithms both in scripts & Jupyter Notebooks

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MylieMudaliyar/Credit-Card-Fraud-Detection

Credit Fraud Detection of a highly imbalanced dataset of 280k transactions. Multiple ML algorithms(LogisticReg, ShallowNeuralNetwork, RandomForest, SVM, GradientBoosting) are compared for prediction purposes.

Language: Jupyter Notebook - Size: 305 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

DataScienceVishal/Attrition_Prediciton

Employees Attrition prediction and identifying its main influencing features.

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dorianDraper/Boosting-Algorithms

Applying boosting techniques such as GradientBoostingClassifier, GradientBoostingRegressor (eXtreme Gradient Boosting (XGBClassifier and XGBRegressor functions). This repo contains class examples and the project.

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vishakhaa10/Titanic-classification

Have build a predictive model to determine the likelihood of survival for passengers on the Titanic using data science techniques in Python.

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lfaferreira/knn-titanic

🚢 Exploratory Data Analysis and Machine Learning with KNN model on Titanic dataset

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MayankGupta6902/Campus-Recruitment-Prediction

It is a Machine Learning model (gradient boosting) which will predict the recuitments on the basis of dataset provided

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Akshadachavan02/classification-_algo

As the there are couple of classification algorithms in supervised machine learning so some of them as here..

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vasupatelll/Email_Spam_Classifier

A Machine Learning Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like MultinomialNB, LogisticRegression, SVC, DecisionTreeClassifier, RandomForestClassifier, KNeighborsClassifier, AdaBoostClassifier, BaggingClassifier, ExtraTreesClassifier, GradientBoostingClassifier, XGBClassifier to compare accuracy an

Language: Jupyter Notebook - Size: 660 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Abdelrahman-Amen/Titanic-survival-prediction

The Titanic dataset includes passenger information such as survival status, ticket class, gender, age, family relations aboard, fare, cabin, and port of embarkation. It's widely used for predictive modeling to understand survival patterns based on passenger attributes.

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LHarieswar/Email-Spam-Classifier

Spam Email Detection using Machine Learning Classifier Algorithms

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tararelan/Kaggle-Pancreatic-Cancer

Urinary Biomarkers for Pancreatic Cancer

Language: Jupyter Notebook - Size: 108 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

i3house/Income-Prediction

Predicting Annual Income from Census Data: A Binary Classification Analysis using various ML Techniques

Language: Python - Size: 12.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

kojen-coder/kickstarter-ml

This project applies Gradient Boosting to predict the outcome of Kickstarter campaigns and uses K-means Clustering to uncover project trends, providing deeper insights into their distinct features.

Language: Python - Size: 133 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

DeepanshuDabas03/Severity_Index

Machine learning project done during Monsoon Semester 2023 in IIITD.

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bala-1409/PeerLoanKart-Loan-Fraud-Detection-Datascience-Project

This project uses machine learning to predict whether a loan applicant will repay their loan. The project uses a dataset of historical loan data from PeerLoanKart, a peer-to-peer lending platform.

Language: Jupyter Notebook - Size: 3.74 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Ashwin0229/Tree-Classifiers

Comparative Analysis of Decision Tree Algorithms in Number Classification: Bagging vs. Random Forest vs. Gradient Boosting Decision Tree Classifiers

Language: Python - Size: 167 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Sarthak-10/Gradient-Boosting-Classifier-from-Scratch

The project contains an implementation of Gradient Boosting Classifier from scratch. The implementation is performed using the MNIST dataset.

Language: Jupyter Notebook - Size: 130 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

aoluwolerotimi/Kickstarter-Success-Prediction

Predicting the success or failure of Kickstarter projects using a gradient boosted random forest classifier.

Language: Python - Size: 4.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Umesh-Mod-10/Titanic_Machine_Learning_Kaggle_Competition

Titanic Dataset Survival Prediction by using Machine Learning Classifiers

Language: Python - Size: 69.3 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Snigdho8869/Numerical-Data-Analysis-Projects

Exploring numerical data analysis with credit card churn, fraud detection, health predictions and more.

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 8 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

manjugovindarajan/EasyVisa-US-visa-applicant-profiling-using-ML

Analyze data of US work Visa applicants, build a predictive model to facilitate approvals, and based on factors that significantly influence visa status, recommend profiles for whom visa should be certified or denied.

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

brian-kipkoech-tanui/binaryclassification

Classification

Language: Jupyter Notebook - Size: 895 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

MahtabRanjbar/Cancer_detection_using_ml_models

This project uses machine learning to classify breast cancer tumors as malignant or benign using the Breast Cancer Wisconsin (Diagnostic) Dataset.

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AqilaFadia/Diabetes-Prediction

This is about how to make Diabetes Prediction with Machine Learning. We are developing a machine learning model capable of predicting whether someone may have diabetes based on health data and specific parameters. Using the right machine learning algorithms, we will process this data to provide valuable predictions for patients and medical

Language: Jupyter Notebook - Size: 2.76 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

marcpaulo15/titanic_streamlit

TOP13% solution for the Titanic-Kaggle competition using a Gradient Boosting Classifier. Moreover, implementation of a Streamlit App to play with the models.

Language: Jupyter Notebook - Size: 286 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

sauravdas221/HAR-sEMG-Classifiers

This is Saurav Das's repository of his MSc. Data Science Final Semester Project during the academic year 2022/23 at University of Birmingham, UK

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syedmfuad/food_store_location_pred

Codes for food store presence, density and popularity predictor. Merges census tract-level demographic data from ACS, neighborhood amenities from heterogenous sources, and Point of Interest (POI) data from anonymized cellphone GPS ‘pings’ to identify food retailer location and foot traffic information.

Language: R - Size: 127 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

ShilpaAjitheks/Cardiovascular-disease-prediction

The objective of this project is to develop a machine learning model that can predict the risk of Cardiovascular diseases (CVDs) in individuals based on their health data.

Language: Jupyter Notebook - Size: 6.99 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

zin288/DanceVision-AI-Driven-Dance-Proficiency-Assessment

Pose estimation and prediction using Mediapipe and various ML models

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

Balajimohan18/PeerLoanKart-Loan-Fraud-Detection-Datascience-Project

This project uses machine learning to predict whether a loan applicant will repay their loan. The project uses a dataset of historical loan data from PeerLoanKart, a peer-to-peer lending platform.

Language: Jupyter Notebook - Size: 3.86 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

shridhar1504/PeerLoanKart-Loan-Fraud-Detection-Datascience-Project

This project uses machine learning to predict whether a loan applicant will repay their loan. The project uses a dataset of historical loan data from PeerLoanKart, a peer-to-peer lending platform.

Language: Jupyter Notebook - Size: 3.87 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 2

Cosmicoppai/Geek-a-Thon

Olympus: Enhancing Olympic Experience

Language: TypeScript - Size: 14.5 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

zehan-alam/Classification--HeartDisease-Prediction

Using Machine Learning's Classification methods to predict if a person has heart disease or not.

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

ssandra102/digits-classification

A digits classification model using Gradient Boosting Classifier, with CI using GitHub Actions.

Language: Python - Size: 4.88 KB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

olahsymbo/credit-score

flask app for credit scoring with gradient boosting classifier machine learning algorithm

Language: Python - Size: 6.64 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

kecioch/ml-gradient-tree-boosting

A Jupyter Notebook explaining the Gradient Tree Boosting algorithm [German]

Language: Jupyter Notebook - Size: 424 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

kingjosephm/BMW-Tasks

Coding challenge for a BMW job interview involving: 1) an ensemble of supervised binary classifiers; 2) unsupervised outlier detection of text data, dimensionality reduction, and nearest neighbor search

Language: Jupyter Notebook - Size: 372 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

NissyAbrahamA/credit-card-fraud-detection

Credit card fraud detection using Machine Learning and Deep Learning

Language: Jupyter Notebook - Size: 785 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ecvsgl/MLproject-DrivenData-PumpItUp

Exploratory data analysis and model preparation for DrivenData contest: PumpItUp!

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

shimolina-polina/stroke-prediction-classification

analyzing data, performing visualization, and training five different machine learning models, including two ensemble models

Language: Jupyter Notebook - Size: 2.79 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Nomadic43/Fake-news-detection-using-nlp

Building a fake news predicting system using Natural language processing

Language: Jupyter Notebook - Size: 40.2 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

vedanty3/medify

Medify is a MERN stack app that predicts heart disease using machine learning. Patients can send their medical data to their doctors through the app.

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Yemi-Ak/Ensemble-Techniques-EasyVisa

Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.

Language: Jupyter Notebook - Size: 945 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

am-tropin/restaurant-europe

🇪🇺🍽 The project classifies restaurants by various features using XGBoost and scikit-learn models and gives content-based recommendations of European restaurants using Jaccard metric from SciPy.

Language: Jupyter Notebook - Size: 36.6 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

sheilafitria/Airline-Passenger-Satisfaction-Prediction-using-KNN-Random-Forest-and-Gradient-Boosting

This project involved conducting an analysis and creating a predictive classification model using a dataset comprising over 120,000 records related to the satisfaction of airline passengers.

Language: Jupyter Notebook - Size: 4.41 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

nmathias0121/ml-model-algorithms

import datasets, perform exploratory data analysis, scaling & different models such as linear or logistic regression, decision trees, random forests, K means, support vectors etc.

Language: Python - Size: 47.9 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

PratanuP/Bank-Customer-Churn

A prediction model based on ML as well as DL and compare their performances to find Churned Customers

Language: Jupyter Notebook - Size: 1.52 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

robertfmath/Mammal-Taxonomy-Gradient-Boosting-Classifier

Predicting mammalian taxonomic order based on ecological, geographic, and life-history traits

Language: Jupyter Notebook - Size: 21.5 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

MArya80/Palmer-Penguin-Dataset

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MArya80/Australia-Weather-Prediction

The model should predict whether is it going to rain the next day coming or it isn't. The models that have been deployed were TensorFlow Sequential, Random Forest Classifier and GradientBoostingClassifier. The best model on both training and test set was achieved with Gradient Boosting Classifier with 95.2% and 85.5% accuracy on the train and test.

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petartushev/Mining-massive-datasets

Homework repository for the 2022/23 course Mining massive datasets @FINKI

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mborhi/IPO-Underpricing

Predicting short-term IPO returns. Course work for CSCI-B351 at Indiana University.

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yk0766/Terrorist-Attack-Prediction-PySpark

The main objective of the project is to analyze terrorist activities around the globe and predict the success of a terrorist attack using different machine learning approaches.

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anandanraju/Titanic_Survival_Prediction_Model

The sinking of the RMS Titanic is one of the most infamous shipwrecks in world history. In this model, need to analyse what sorts of people were likely to survive. We also need to apply the tools of machine learning to predict which passengers survived in this tragedy.

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NatenaelTBekele/Sentiment-Prediction-of-US-Airline-Tweets

In this work I want to determine which airlines tweeted about the most and the reason behind the negative tweets. Then we will see the most frequent words used in the tweets using the WordCloud technique. And finally We will predict the sentiment of a tweet without any other information but the tweet text itself, using carious machine learning algorithms.

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