Binary Classification on Job Manual Usage

Deploying Flight Price Prediction via Microsoft Azure

this project leverages machine learning to predict customer churn, and we've built an interactive interface using Streamlit and containerized everything with Docker for easy deployment.

Build and find Machine learning model that have good result to predict Travel insurance

데이콘 신용카드 사용자 연체 예측 AI 경진대회 코드

A ML project with EDA and model that helps in predicting next-day rain by training classification models on the target variable RainTomorrow.

Objective of this Web app is to predict the likelihood of cardiovascular disease based on lifestyle factors

With the rise in the variety of cars with differentiated capabilities and features such as model, production year, category, brand, fuel type, engine volume, mileage, cylinders, colour, airbags and many more, we are bringing a car price prediction challenge for all. We all aspire to own a car within budget with the best features available. To so…

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

This is my final project that I did at the end of teaching a python course at my university "HSE UNIVERSITY". The dataset was taken from the kaggle site.

Рекомендательная система постов для юзеров, на основе характеристик юзеров и информации об их действиях с ранее опубликованными постами. Учебный проект, собранный при прохождении курса StartML от KarpovCourses.

This project is to support Allcorrect Games with creating a machine learning model to help make label predictions on text game reviews in regards to localization.

JOB-A-THON|MAY(2021)

A flask app that predicts student score based on regression models by deployed on AWS beanstock

Flight Price Prediction Model Deployment IN Heroku

Classification task on census income dataset

Source code of TFI's Kaggle Competition: Restaurant Revenue Prediction.

Autism Prediction in Adults

This repository contains code to build 21 Regression Machine Learning Models to predict the house price in Python using PyCaret. Models are compared against the statistics (RMSE), best model was picked, tuned, saved/loaded for model deployment and used to predict the observations on unseen data. The final file with predictions on unseen data was…