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

auto avia offer in Aeroclub hackathon

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

Multimodal Sentiment Analysis using Text and Image Data on twitter dataset

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

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

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.

A model classifying whether a person would survive on Titanic

Detección de cardiopatías en pacientes mediante el uso de datos clínicos utilizando técnicas de Machine Learning y Deep Learning.

classifying a patient has a heart disease or not

Amazon employee data to predict approval/ denial

This repository contains the project where the goal is to develop a machine learning model that can accurately predict car prices based on various features. We explored multiple models including K-Nearest Neighbor, Decision Tree, Catboost Classifier, and Light Gradient Boosting Classifier.

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.

Jupyter тетрадка с решением Kaggle соревнования Leopard Classification Challenge

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

Ad huc solution for anomaly classification of HTTP requests between service and end-user based on limited data / Решение задачи поиска аномальных HTTP запросов (их классификации) к сервису.

Classifying if a landslide occured or not

Address employee attrition effectively with this mini project. Discover a comprehensive solution leveraging data analytics and machine learning techniques. Uncover insights, build predictive models, and implement strategies to mitigate attrition risks, fostering a resilient and productive workforce.

Machine learning to predict which passengers survived the Titanic shipwreck