UBC-MDS / DSCI_522_Group-308_Used-Cars

This project attempts to build a regression model to predict price of used cars based on numerous features of the car
MIT License
2 stars 6 forks source link

To do list - milestone 1 #1

Closed AndresPitta closed 4 years ago

AndresPitta commented 4 years ago

Hey @bradentam and @pokrovskyy,

I created a list of the things to do:

Files to create:

Serg

Braden

Andres

Remember everything is python! Thanks for the work!

AndresPitta commented 4 years ago

Hey guys,

I finished the EDA.

pokrovskyy commented 4 years ago

Great job! I've just submitted Team Contract, Code of Conduct and Contributing documents PR, you're welcome to review them! Download script will come in the evening

AndresPitta commented 4 years ago

Thanks Serg, nice job!

Also, We hace vehicles with market prices of more then $300,000,000 usd. Which, checking one by one, I realised are errors. I’m gonna remove those values (and explain why) in the EDA.

pokrovskyy commented 4 years ago

Makes sense Andres! By the way, we could use this sort of "rule" to remove outliers outside 3 standard deviations - I remember Tom once suggested that as a good practice

AndresPitta commented 4 years ago

Ok, Serg, I used the 99th percentile but we can do that too