"Wind Power Predictor" is a machine learning project that forecasts turbine output using real-time data from Turkish wind farms. Its web app interface offers convenient access to predictions, enabling informed decisions for maximizing energy production and advancing renewable energy usage.

Traveling Ionospheric Disturbances Forecasting System, funded by the European Community, Horizon Europe

A diverse dataset comprising various car attributes such as mileage, model year, brand, and more, our predictive model employs to accurately forecast the prices of audi car. From data preprocessing to model training and evaluation, our repository provides code implementation, enabling users to understand and replicate our results seamlessly.

Проекты, выполненные в рамках образовательной программы "Специалист по Data Science" АНО ДПО "Образовательные технологии Яндекса"

Build a machine model to predict whether the freshwater is safe to drink or not.Based on the measures like pH, TDS, etc.

Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.

Smart-Industrial-Predictive-Solutions Feynn Labs Internship project

Create a model that can accurately predict whether a user belongs to the HCP(Healthcare Professional) category or not. Based on server logs.

The telecom operator Interconnect would like to forecast churn of their clients. To ensure loyalty, those who are predicted to leave will be offered promotional codes and special plans.

We build a model to predict the value of used cars, while also considering speed and quality of the prediction.

Explainable AI for Healthcare

Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.

Participated in Analytics Vidya Hackathon ( JOB-A-THON | May 2021 ). This Repository contains all code, reports and approach.

The goal of the project is to build a predictive model using machine learning concepts to predict customer attrition for a telecom service company.

2020.12.15 장려상 빅콘테스트 데이터분석분야 챔피언리그-NS Shop+ T-commerce 2019년 1월부터 12월까지의 데이터를 이용하여 2020년 6월 매출액을 예측 및 편성표 최적화.

Predicting Kolonials service time to improve their route planner

This repo contains all the project files for DataScience nano degree program of Udacity as per the requirement of final Capstone Project (StarBucks)