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datasciencechallenge

This is an interview task given by Maf Pars Co(Hyper Star) for Data Scientist Position:

house-price-prediction-ml

This repo contains Python code for house price prediction using Random Forest Regression. It demonstrates data preprocessing, feature engineering, and model building with scikit-learn. The project aims to provide an example of machine learning applied to real estate datasets.

quera-football

quera-superstore

quera bootcamp- project2

stock-price-prediction-ml

This repository showcases a stock price prediction project for 'Iran Kh. Inv.' using Gradient Boosting Regressor, along with the incorporation of technical indicators. The project aims to forecast future stock prices based on historical data and analyze the model's accuracy using Mean Squared Error, Mean Absolute Error, and R-squared Score.

store-sales-and-a-b-test-analysis.

This repository features A/B test analysis for a fast-food restaurant's menu launch. It covers data preparation, exploratory analysis, statistical tests, modeling, and visualizations. Promotion A, with high sales and consistent growth, is recommended for a nationwide launch. Ongoing monitoring is advised.