This repository will work around solving the problem of food demand forecasting using machine learning.

Model that uses 10 different algorithms to predict the revenue of a movie before it's release

Kaggle LANL Earthquake Prediction challenge, Genetic Algorithm (DEAP) + CatboostRegressor, private score 2.425 (31 place)

API files for Stutern inter-track-webapp for rent prediction.

The goal of the challenge is to predict, based on the analysis of the correlation of a year of consumption and weather training data, the electricity consumption of two given sites for a test year.

A web app to predict fare for some indian flights. An end-to-end machine learning project.

Regression model that predicts demand for bicycle rentals

This application is based on a CatBoost machine learning model. This basically takes four queries from the user (Upazila/Thana name, Network availability (3G/4G), District, and Zip code) and outputs the best operator for that location. This model was trained on the data I collected from Opensingnal application. I collected 22,360 data for 559 lo…

A python script for basic data cleaning/manipulation and modelling based on the open source House Sales Advanced Regression Techniques(Kaggle)

You are provided hourly rental data along with weather data. For this competition, the training set is comprised of the first 20 days of each month, while the test set is the 21th to the end of the month. You must predict the total count of bikes rented during each hour covered by the test set, using only information available prior to the renta…

Build a machine learning model that predicts the Envision Racing drivers’ lap times.

Telecom Customer Churn Prediction with 9 Different Alghoritms

A simple data science project that involves web scraping, data cleaning and visualization, model building, and model explanation using character data from Marvel Fandom.

Use regression techniques to predict the number of times a news article will be shared online

Machine Learning model to predict the weekly dispatch count of the warehouse.

2022-01 데이터마이닝이론및응용 프로젝트 <장애인 이동권 제고를 위한 콜택시 이용편의 증진 방안 : 서울특별시를 중심으로>

Developed a multi-class classification model to identify and classify faults according to specified categories. The model can be used to flag a device returning faulty data automatically.

Analytic Vidhya's Problem Statement to Predict or Forecast the Future Energy Demand For Next Three Years.

Production prediction is one of the core problems in a company. The provided dataset is a set of nearby wells located in the United States and their 12 months cumulative production. The company data scientist needs to build a model from scratch to predict production.