St Clair College - Analysis and modeling of vehicle traffic

Inspiration

As we are student of Data Analytics Course at St. Clair College, so this topic aligns with our course.

The model which we have built predicts the traffic of commercial vehicle at windsor detroit border.

We used tools like python, googlecolab, tableau to develop the solution.

Data Understanding, data exploration, data cleaning.

We are proud of what we have built in the available time frame. We have automated the process and predictive machine learning model.

Team-work, timemanagement, critical thinking.

We want to build a full fledged website to predict the same for all of the US-Canada borders.

BorderHacks
- Winner St Clair College - Analysis and modeling of vehicle traffic along the Huron Church Road Corridor

I worked on the python model creation, data cleaning, data aggregation, python and tableau integration.

TEJAS SHINDE
I worked on the automation of the bringing multiple data source into a single destination, creation of time series ML model, aggregating training data and creating inputs to user and based on the user input predicting the forecast.

Girish Chandwani
I have worked on the model evaluation using the cross validation method and built a user interface in tableau to have a look at the traffic data of actual and predicted output.

Darshan Panchal
Data Analyst
I worked on reading the data from the json file which included reading multiple files and combining them into one file.
Then I did data cleaning and EDA on the data.

Sachchid Wast

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