CHAA CHAA ML Solutions

Regression Forecast Model made in Microsoft Azure Machine Learning Studio
Voice Activity Control Diagram

Inspiration

Gaining technical experience

What it does

We used regression forecasting to predict the number of sales and it would have given our business a better idea of what vehicles were more successful than others. By concentrating on the most successfully selling vehicles in terms of features and production, this would differentiate our clients from their competitors and position themselves as a leader in technology innovation in the automobile industry.

How we built it

To conduct regression forecasting for our automobile business, we used Kaggle for a public dataset and Microsoft Azure Machine Learning Studio. The dataset from Kaggle contains information about the number of cars sold in Norway based on the make and model of a mix of luxury and non-luxury vehicles. After that, we imported the data set into Azure Machine Learning Studio and conducted regression to predict the number of sales based on make/model.

Challenges we ran into

Unfortunately, we ran out of time and were unable to get the machine learning to work like we wanted it to, but if we had more time to troubleshoot, I’m sure we could have produced the results we were looking for.