This repo has been developed for the Istanbul Data Science Bootcamp, organized in cooperation with İBB and Kodluyoruz. Prediction for house prices was developed using the Kaggle House Prices - Advanced Regression Techniques competition dataset.

Mohs Hardness Prediction Project | Ensemble Models with Neural Networks, LGBM, CAT, XGB using a Voting Mechanism. 🚀💎

Machine Learning model for price prediction using an ensemble of four different regression methods.

Multi-Class Obesity Risk Prediction Project | Prediction of obesity risk in individuals using various factors, which is related to cardiovascular disease.

My solution to House-Prices Advanced Regression Techniques, A beginner-friendly project on Kaggle.

Customers knowledge, supply chain movement and sales forecasting, Customer Lifetime value, churn and survival analysis

Project: What factors impact the accuracy of airfare prediction?

Primary aim of this project is to build machine learning model that should be able to predict the solar power output of the 12 different location of the Northern Hemisphere according to the provided dataset.

Kaggle Competition : Predicting house prices using a collection of advanced regression techniques and data visualization with plotly

Data science project on Housing Prices Dataset regression analysis

ASHRAE - Great Energy Predictor III: How much energy will a building consume?

Compare ticket price and distance between car, train and bus + Price prediction + dynamic visualization

Previsão da nota de matemática dos alunos participantes do ENEM 2016.

Creating a ML-model that forecasts the price of a car (historic data)

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

Simple service that predicts car price based on its characteristics

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