Прогнозирование спроса на такси
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Updated
Nov 7, 2022 - Jupyter Notebook
Прогнозирование спроса на такси
This repository contains a Phase 2 Project for the Data Science Flex Program at the Flatiron School. This project uses linear regression, pandas, numpy and exploratory data analysis using matplotlib and seaborn to predict and analyze home prices in the King County data set..
Time Series for Predicting Air Quality (PM2.5/PM2) with analysis to show the PM2 changes
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