catboost-classifier

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.

Egoluback/Toxic_Detector

ML-bot that detects toxicity in russian texts.

yoraghav/Automated_Hangman

Uses letter frequency and catboost classifier model in synchronous for guessing letters in hangman game instance. The model performance is evaluated on both seen words in the dictionary and words out of the dictionary.

BMSTU-team/vector_ECG_team_project

Командный проект по Векторной электрокардиографии

salim-benhamadi/landslide-prevention-and-innovation-challenge

Classifying if a landslide occured or not

sachin17git/Malware-detection-ML

Android malware detection using machine learning.

himarygr/disease-prediction-ml-model-app

A model on the streamlit framework predicts disease and makes a treatment recommendation

k-loki/Mars-spectrometry-14th-place-solution

This is my final solution to the Mars-spectrometry challenge by NASA hosted on @drivendataorg

keerthigavnr/Intel-AI-oneAPI-Hackathon

A Domestic violence support system for the victims, that enables users to share their thought and provides knowledge about the particular type of abuse they are going through.

Prashant-Tiwari26/Multimodal-Sentiment-Analysis-using-Text-and-Images

Multimodal Sentiment Analysis using Text and Image Data on twitter dataset

bh-Abhishek-b/Web-Server-Log-Analysis

Web Server Log Analysis

DanniRodrJ/milling-machine_failure-prediction

Machine Learning aplicado al mantenimiento predictivo. Se realizaron 2 modelos: 1 por medio de clasificación binaria que predice si una máquina fresadora estará en riesgo de fallar o no, y el 2 modelo a través de clasificación multiclase que predecirá el modo de falla

Egoluback/titanic_kaggle

A model classifying whether a person would survive on Titanic

HendEmad/GraduationProject_Embedded-AI-Medical-Quadcopter

This repo includes Cardiac arrest prediction part, path planning, and landing system of the quadcopter.

Horeknad/Aeromole_auto_avia_offer_Aeroclub_hackathon

auto avia offer in Aeroclub hackathon

issacchan26/CreditRiskPrediction

Data Analysis and prediction on Kaggle dataset: Credit Risk Dataset

jm55DLSU/THESIS

Behavior-Based Malware Detection using GBDTs

loopiiu/DSP2_Endterm

Expresso Churn Prediction Challenge - dealing with imbalanced dataset

ohincu/insurance-cross-selling

Identify health insurance customers with interest in a vehicle insurance.

peppecappella/Customer-Churn-Prediction-from-Retail-Order-Data

Priya-cse/Zindi-New-User-Engagement

New User Engagement

seroetr/Disaster-Tweets-with-NLP

Disaster Tweets Classifications by Machine Learning, which is a currently Kaggle Competition.

aajinr/bank_marketing

bank marketing prediction for a term deposit campaign, identify non-potential customers

DataRish/MBTI-Personality-Predictor

This project predicts MBTI personality types from users' recent 50 posts using NLP and ML techniques.

harmanveer-2546/Credit-Card-Fraud-Detection

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

harmanveer-2546/House-Price-Prediction-

We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.

JohnyCoder238/ICR_competition

ML competition submission to classify anonymous age related condition

VikramBansall/Credit-Risk-Model-and-Analysis

yujansaya/kaggle_titanic

Machine learning to predict which passengers survived the Titanic shipwreck

benitomartin/bank-churn-classification

Bank Churn Classification

Gourav052003/Term-Deposits-Subscription-Analysis-for-Portuguese-banking-institutions

The purpose is to train a predictive model that can determine if a given customer will subscribe to a term deposit based on these various features. By analyzing historical data on successful and unsuccessful subscription outcomes, patterns can be identified which help predict future subscription behavior.

hikmatullah-mohammadi/multi-class-cirrhosis

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

RimTouny/Network-Intrusion-Detection-Kaggle-Competition-Predictive-Modeling-and-F1-Score-Optimization

Kaggle competition on network intrusion detection. Train model, predict test set, submit as CSV (ID, Class). F1-score metric. Part of my 2023 master's program at the University of Ottawa in AI for Cyber Security.

sayande01/Thyroid_disease_Prediction_ML

This project develops an advanced predictive model to identify thyroid disease recurrence using machine learning algorithms. We used a detailed dataset with demographic, medical, and clinical features, and implemented Logistic Regression, Decision Tree, Random Forest, and CatBoost Classifier. Rigorous preprocessing and EDA were performed.

sirilalithaadapa/Credit_Card_Approval

Credit_Card_Approval_odinschool_project