edaaydinea/OP1-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).

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edaaydinea/OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.

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tanishq-ctrl/House-price-prediction-and-visualization

This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.

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Davisy/Financial-Inclusion-in-Africa-App

A Data science app to predict who in Africa is most likely to have a bank account?

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Tejas-TA/Transformer-BERT-SMS-Spam-Detection

Spam SMS Detection Project implemented using NLP & Transformers. DistilBERT - a hugging face Transformer model for text classification is used to fine-tune to best suit data to achieve the best results. Multinomial Naive Bayes achieved an F1 score of 0.94, the model was deployed on the Flask server. Application deployed in Google Cloud Platform

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yakupkaplan/Home-Credit-Default-Risk

In this project we try to predict home credit default risk for clients. We try to predict, if the client will have payment difficulties or not.

Language: Python - Size: 1.43 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 1

AbhishekGit-hash/Credit-Card-Lead-Prediction

A machine learning model to predict whether a customer will be interested to take up a credit card, based on the customer details and its relationship with the bank.

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nalron/project_credit_scoring_model

Développer un modèle de scoring de la probabilité de défaut de paiement du client pour étayer la décision d'accorder ou non un prêt à un client potentiel.

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kashish45/Machine-Learning-Projects

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NamrataThakur/Airbnb-New-User-Prediction

The problem that this case study is dealing with predicts the location that a user is most likely to book for the first time. The accurate prediction helps to decrease the average time required to book by sharing more personalized recommendations and also in better forecasting of the demand. We use the browser’s session data as well as the user’s demographic information that is provided to us to create features that help in solving the problem.

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AnFrBo/coupon_optimization

Maximizing Revenue with Individualized Coupon Optimization Using Tree-Based Models

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abhilash1910/NLP-Workshop-ML-India

NLP Workshop -ML India

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MAGICS-LAB/SMUTF Fork of fireindark707/Python-Schema-Matching

[Information System] SMUTF: Schema Matching Using Generative Tags and Hybrid Features

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deepeshdm/CropFusionAI

Helping Farmers make informed decisions with Machine Learning ! 👩‍🌾🚜

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deepeshdm/CropFusionAI-Backend

FastAPI backend for CropFusionAI

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onurboyar/AnomalyDetection

Anomaly Detection with Multiple Techniques using KDDCUP'99 Dataset

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rahulgaikwad2010/facial-expression-recognition-deep-learning

The goal of this project is to predict the expression on the face. The expression labels are standard ones used in psychology research: angry, disgusted, fearful, happy, sad, surprised, neutral.

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darenr/optuna-lgb

Example using Optuna to tune hyper parameters for LightGBM

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datalopes1/bank_marketing_success

Projeto de Machine Learning baseado no Dataset Bank Marketing encontrado na UC Irvine - Machine Learning Repository e disponibilizado por S. Moro, R. Laureano e P. Cortez.

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grknc/Customer-Churn-Analyzer-with-ML

Telco Churn Analysis and Modeling is a comprehensive project focused on understanding and predicting customer churn in the telecommunications industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer

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kyaiooiayk/LightGBM-Notes

Notes, tutorials, code snippets and templates focused on LightGBM for Machine Learning

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Ry3nG/SC1015-Project-Smartphone-Sensor-Privacy-Leak Fork of XunyiiZ/SC1015-Project

NTU SC1015 SC16 Team 2 Project

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fahadgorain/Bayesian-Hyper-Parameter-Optimization-for-Malware-Detection-Extended

Selected Paper from the AI-CyberSec 2021 Workshop in the 41st SGAI International Conference on Artificial Intelligence (MDPI Journal Electronics)

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maede43/ensemble-learning-lfw

Final Project Of Computational Intelligence - Fall 2021 - LightGBM, RandomForest and StackingClassifier

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HarshiniAiyyer/Gradient-Boosting-for-Cryptomarkets

Accommodating supervised learning algorithms for the historical prices of the world's favorite cryptocurrency and boosting it through LightGBM.

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lelliott-geo/Springboard_Capstone_Project2

This repository houses all files related to my second Springboard Capstone: Automated Tagging of Stack Exchange Data Science Posts Using Natural Language Processing.

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hanaecarrie/CS5228_kaggle_income50K_classification

CS5228 Kaggle Inclass Competition: Predicting if Income > 50K

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tatigabru/kaggle-plasticc

Photometric light curves classification with machine learning

Language: Python - Size: 1.72 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

Dino-Boooo/Fashion-MNIST-Modeling-Comparision

Compares two popular machine learning models - CNNs and LightGBM - and their effectiveness in image classification using the Fashion-MNIST dataset.

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Boudry-Felix/EIH_Classifier

Research work about modeling the EIH phenomenon.

Language: R - Size: 225 KB - Last synced at: 8 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

sarmadahmad8/Book-Recommender-System-using-classical-ML-techniques

Book Recommender System - 5 approaches

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Yash2108/HR-Analytics

This project aims at classifying the profiles of the candidates to determine their likeliness to switch jobs based on a candidates demographics and job profile.

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WideSu/CreditRiskDetection

A data analysis project to classify whether an applicant is capable of paying a home loan by using 4 machine learning models (Logistic Regression, SVM, Random Forest and LGBM) and 1 deep learning model (DeepFM). We also drew some insights from the best model that can be useful for analysts in bank.

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Priya-cse/Zindi-New-User-Engagement

New User Engagement

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nathanroberts55/CNUMBB_Notebook

As CNU Men’s basketball player & data enthusiast, I’ve combined my passions to analyze 12 years of CNU & opponent team data to discover what determines a CNU win in a basketball game. Through EDA, I aim to understand the data collected about the team & develop a classification ML model to predict if CNU will win a game or not.

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patrikkaura/quadtree

Quadtree - gradient-boosted decision tree model used to predict guanine quadruplexes in DNA sequences

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Navneet2409/cardiovascular-risk-prediction

The project aims to predict the 10-year risk of future coronary heart disease (CHD) for patients in Framingham, Massachusetts. A dataset (3390,16) containing demographic, behavioral, and medical risk factors of patients is used to build a classification model.

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eliashossain001/DiabetesModel_Deployment

Forecasting diabates using machine learning algorithms: End-to-end solution.

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SpooderManEXE/Speech-Emotion-Recognition-using-MLP

The SER model is capable of detecting eight different male/female emotions from audio speeches using MLP and RAVDESS model

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mrcreasey/oc-ds-p7-scoring-dashboard

Conception and deployment of a credit-scoring model, API and interactive dashboard

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vikramnayyar/Customer-Identification-for-Bank-Marketing

ML classification project identifying term deposit customers for a bank.

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nshutijean/faulty-air-quality-challenge-zindi-hackathon

🧑🏾‍💻 A faulty device detection hackathon by Zindi Africa (2022) using AirQo's data

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chrisliatas/dsnd-customer-segmentation

Udacity DSND capstone project on the Bertelsmann-Arvato challenge on customer segmentation report and supervised learning model.

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gracengu/multiclass_classification 📦

[Completed] Complete framework on multi-class classification covering EDA using x-charts and Principle Component Analysis; machine learning algorithms using LGBM, RF, Logistic Regression and Support Vector Algorithms; as well as Bayesian Optimizer with l1 and l2 regularization for Hyperparameter Tuning.

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vasisthasinghal/Credit-Default-Prediction

Credit Default Prediction on real American Express Data

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afairless/binary_classification_shap

Run histogram-based gradient boosted trees binary classifier on generated data and interpret results with standard metrics, SHAP, and supervised clustering

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gunjan-iitr/Santander-Customer-Transaction-API

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an-gr-hh1/Advanced-Sensor-Based-Landslide-Detection-and-Alert-System-Utlizing-Machine-Learning

This is a B.Tech final year project on Landslide Detection using IoT and ML. LightGBM, maps out high-risk areas and IoT nodes send real-time updates to cloud. All sensed data are presented on an android dashboard and features an interactive map and trigger an alert when abnormalities are detected.

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alessioborgi/MLPipeline_OptimizationStudy

Exploration and optimization of a ML pipeline, delving into various techniques for enhancing different stages of ML workflows, including data preprocessing, feature engineering, model selection, and hyperparameter tuning.

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matth3wss/doctor-grade

🎓 ML model that predicts student success in Computer Science courses at UFFS, achieving 89.56% accuracy. Built with Python, Streamlit, and LightGBM.

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Anja-c1511/Fraud_Transaction_Detection

Banking fraudulent transaction detection using machine learning models.

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franmateus/Risco-de-Credito-Modelos-Ensemble

Modelos de classificação de risco de crédito usando algoritmos de Métodos Ensemble

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anaynasingh/acne-detection-and-severity-grading

Implements a two-stage system for acne analysis on smartphone images: Faster R-CNN with ResNet50 backbone for acne lesion detection and LightGBM classifier for severity grading. Utilizes ACNE04 dataset with 1,572 images and 41,000 labeled acne lesions.

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rafaelgreca/e2e-mlops-project

The purpose of this project's design, development, and structure is to create an end-to-end Machine Learning Operations (MLOps) lifecycle to classify an individual's level of obesity based on their physical characteristics and eating habits.

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Parag000/Customer-Churn-Prediction

An end to end ML solution to predict customer churn, aiding businesses in identifying at-risk customers. This repository features a tuned LightGBM model, custom preprocessing, SMOTE for class balancing, and a user-friendly Streamlit app for predictions, emphasizing model optimization and deployment.

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pddiii/MLB-ROY

2024 MLB Rookie of the Year Race

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datalopes1/hotel_reservations

Predicting booking status with machine learning

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10mudassir007/Water-Potability

Water potability classifier using simple logistic regression to advanced gradient boosting algorithms

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S84v/credit-risk

This project focuses on analyzing credit risk to predict the likelihood of default on loans. It leverages various data analysis and machine learning techniques to assess borrower risk.

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kongju7/my_project1_2

Personal projects 1 & 2

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Kaushikjas10/Liquefaction-gravel-eml-2023

This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of gravelly soils. This model is developed using LightGBM and SHAP.

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ArtemKornev0/Classification-task.-Based-Occupancy-Estimation-Using-Multivariate-Sensor-Nodes-

Задача классификации (Оценка занятости помещения на основе многомерных сенсорных узлов) / Classification task. (Based Occupancy Estimation Using Multivariate Sensor Nodes)

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shamshirialireza/catboost_soo_prediction

Spatial Prediction of Socio-Economic Effects on Schedule Overrun Occurrences of Roadway Projects using Machine Learning Techniques

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oliveiract/Insurance-Company-Ranking

This repository contains files and script to develop an interest ranking algorithm, for an Insurance Company. The objective of the project is to reduce the time and costs associated with prospecting customers and, at the same time, increase revenue. (Student Project 4 / DS Community)

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kevin-titi/Fraud_Detection_Credit_Card_Transaction

Credit card transaction fraud detection model that utilized credit card transaction data from 2010, incorporating data from both credit card companies and merchants.

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YSChen0609/Fashion-MNIST-Modeling-Comparision

Use 2 different models and compare their performance on the Fashion-MNIST Dataset.

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srushtishimpi/breast-cancer-analysis

👩Women👩 and 🎗 Breast Cancer🎗: Analysis📊 and Detection🔍

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joycekuohmoukouri/creditworthiness-scoring

Language: CSS - Size: 67.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

faizul14/Breast-cancer-prediction-with-3-methods

Breast cancer prediction using Random Forest, Light GBM, and XGBoost methods.

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babi7777/scoring-model-credit-risk

Développement d'un modèle de scoring pour évaluer la probabilité de défaut de paiement d'un client, afin de fournir une base solide pour décider d'approuver ou de refuser un prêt à un client potentiel.

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GunturWibawa/MarketOpsVehicleCommerce

Rusty Bargain, a used cars commerce company, is creating an app to attract buyers, let users check vehicle market prices. I'm using historical data on specifications, versions, and pricing to design a model that assesses car values accurately. Focus areas include prediction precision, model efficiency, and training time.

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Wilsonkongcheng/Disease-risk-pred-automl

Disease risk prediction autoML based on Lightgbm,Optuna ,Shap value and MLflow

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Shrinidhi1/New-User-Engagement-Challenge

Given the data of the user activity of a month, can predict user activity for the upcoming month.

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mochan42/Create-a-binary-classification-model-for-a-loan-decision-app-deployed-in-Azure

A binary classification model is deployed in Azure to help financial advisors determine if a loan can be granted or not to a client.

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OlehOleinikov/ML-exam-project-BDL3

Big Data Lab 3 exam project (ML binary classification model)

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noahcasey21/kaggle_titanic

My solution to the Kaggle titanic competition

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falken1983/PDS01_datathon

Data Science Training/Preparation Competition for Final Hackamecum Grade

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dianamerchan91/Proyecto15_Final_TasaCancelacion

Modelo de machine learning que predice la tasa de cancelación de clientes dentro de una empresa de telecomunicaciones.

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Navneet2409/credit-card-default-prediction

This project is aimed at predicting the case of customer's default payments. This dataset (30000,25) contains information on default payments, demographic factors, credit data, history of payment, and bill statements of credit card clients in Taiwan is used to build a classification model.

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shubhamwankar/heart-disease-prediction

This project is a part of my traineeship at AlmaBetter. The goal of the project is to derive actionable insights and build a ML model for given Coronary Heart Disease dataset.

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oonat/Gradient-Boosting-based-Bot-Detector

A LightGBM-based bot classifier implementation for Twitter.

Language: Python - Size: 7.81 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

cjean-pierre/Scoring_FastAPI

Rest API for predicting default scores

Language: Python - Size: 7.61 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Vedant-02/histopathologic-cancer-detection Fork of Debdut0122/histopathologic-cancer-detection

In this project, we have implemented various deep learning algorithms like Transfer Learning, CNN and MLP, and some other classification algorithms like Random Forest, LightGBM etc. to classify histopathological images of lymph nodes and reduce the human intervention yet providing accurate results.

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oguzerdo/telco-churn-prediction-ml

It is expected to develop a machine learning model that can predict customers who will leave the company.

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Basel-anaya/Breast-Cancer-Prediction-Project

This project aims to predict whether a certain person has breast cancer or not.

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Debdut0122/histopathologic-cancer-detection

This is the course project of PRML course. In this project, we have implemented various deep learning algorithms like Transfer Learning, CNN and MLP, and some other classification algorithms like Random Forest, LightGBM etc. to classify histopathological images to reduce the human intervention yet providing accurate classification results.

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fahadgorain/Bayesian-Hyper-Parameter-Optimization-for-Malware-Detection

AI-CyberSec 2021 Workshop CEUR Publication(AI-2021 Forty-first SGAI International Conference)

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VijayasaiVS/spotanalyst

We will be making use of Spotify API (Spotipy) accompanied by Python to get data from Spotify Web API. Based on the data extracted from each music we planned to analyse various audio features and patterns of the music.

Language: Python - Size: 19.1 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

gabriel-solon-padilha/predicao_sobrevivencia_classification

Meu 8 miniprojeto em python em que faço o uso de modelos de classificação para predição da sobrevivência ou não no desastre do titanic

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jangThang/LoL_project

LoL_Realtime_Winrate_Predictor

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Pradnya1208/Credit-card-fraud-detection-using-ensemble-learning-predictive-models

The Aim of this project is used to identify whether a new transaction is fraudulent or not.

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Akhilreddy97/IST-5520-MLProj-EmissionScore

IST 5520 Data Science and Machine Learning in Python Project, where we developed a predictive model to predict the vehicle emission score or Smog rating as defined by the Environmental Protection Agency(EPA).

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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.

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lightknight64bit/indian-diabetes-classification

My analysis of the PIMA indian diabetes classification dataset

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rahulgaikwad2010/janata-hack-cross-sell-prediction

Secured Rank in top 25%. Topic - Your client is an Insurance company that has provided Health Insurance to its customers now they need your help in building a model to predict whether the policyholders (customers) from past year will also be interested in Vehicle Insurance provided by the company.

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rustom/lifespan-prediction

Lifespan prediction research for the Illinois Risk Lab.

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