Final_Project: Analysis of Bike-Share company in Chicago with Prediction models of the rides and the accidents Introduction: The project is about analysing the data for a bikeshare company that is located in Chicago. The data is for the the year 2023, and it is about 5.6 million rows Dataset Sources: Analysis Purpose Datasets: Bike rides dataset from Divvy company’s website: https://divvy-tripdata.s3.amazonaws.com/index.html Temperature dataset. Predictive Models Datasets: Accidents dataset from Chicago Data Portal (CTP): https://data.cityofchicago.org/Transportation/Ped-Bike-Crashes-by-Month/sd9z-2f4z Police station locations in Chicago from Chicago Data Portal (CTP). Sections of my projects: First Part: Analysis of Divvy Bike-Share company in Chicago Second Part: Prediction of Daily Number of Bike Rides Third Part: Predictive Model For Bike Accidents Final Presentation : https://www.canva.com/design/DAGGu1YJj-A/ZoV3-Tv0QEUYIxJFjnP93g/edit?utm_content=DAGGu1YJj-A&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton Tableau viz: https://public.tableau.com/views/FinalProjectDivvy/Dashboard1?:language=en-US&publish=yes&:sid=&:display_count=n&:origin=viz_share_link