Weather Disruption of Public Transport Analysis Using Python

Posted 6 CommentsPosted in Datathon 2020 Solutions, Datathons Solutions

The Weather Dataset provided has been preprocessed the traffic data ha been appended after preprocessing.The aim is to find the intersection dates available from both the datasets and do a predictive analsyis after combining traffic and weather datasets.so if future weather conditions are given or predicted by time series analysis ,public trasnport disruption could be interpreted using machine learning models.

(Just a small try by an undergrad engineering student,Hope you like it 🙂 ).

Weather-proof Mobility

Posted 7 CommentsPosted in Datathon 2020 Solutions, Datathons Solutions

In [166]: import os import pandas as pd import numpy as np import json import pprint import seaborn as sns from pandas.io.json import json_normalize import matplotlib.pyplot as plt from datetime import datetime, timedelta import time import warnings from statsmodels.formula.api import ols warnings.filterwarnings(‘ignore’) Business understanding¶ The aim of this article is to present an data driven approach […]