sbuenker / bike_sharing_wa-dc Goto Github PK

https://koalatea.io/python-detrending-time-series/
white_check_mark
eyes
raised_hands

2:07
https://timeseriesreasoning.com/contents/negative-binomial-regression-model/

How bike rentals change with temperature, wind, rain, snow, etc? Will need to merge the two datasets.

• Write psuedo code

Provide documentation for the data selection and data cleaning for project @saliloquy if there is anything not present in the notebooks we have regarding what you did prior just copy and paste in here. @mhleal can finalise everything if needed.

Deliverables

• Python Script for cleaning and sorting data
• Statement on choice of data [and potential issues/bias for the analysis]
• Information on source

Jupyter Notebook with EDA of bike rentals over time

(e.g. Linear regression with weather features, Poisson Regression and Negative Binomial Regression, Boosting stuff). Including hyperparameter tuning

Aim

Plot bike rentals over the years 2011-2019, average bike rentals by day, week, month, year). Plot Actual Bike rentals by year to see if outliers cluster together.