Skip to content

Latest commit

 

History

History

bike_sharing

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
Project_Main.ipynb
Project_Main.ipynb
 
 
README.txt
README.txt
 
 
Xtot_to_keep_all.npy
Xtot_to_keep_all.npy
 
 
acquisition_raw_data.ipynb
acquisition_raw_data.ipynb
 
 
age_distribution.ipynb
age_distribution.ipynb
 
 
applying_PCA.ipynb
applying_PCA.ipynb
 
 
building_PCA_data.ipynb
building_PCA_data.ipynb
 
 
building_final_dataframe_regression.ipynb
building_final_dataframe_regression.ipynb
 
 
create_sampled_data_each_station.ipynb
create_sampled_data_each_station.ipynb
 
 
daily_time_analysis.ipynb
daily_time_analysis.ipynb
 
 
hourly_time_analysis.ipynb
hourly_time_analysis.ipynb
 
 
instanteanous_variation_daily.ipynb
instanteanous_variation_daily.ipynb
 
 
instanteanous_variation_total.ipynb
instanteanous_variation_total.ipynb
 
 
int_to_station_all.npy
int_to_station_all.npy
 
 
numerization_final_dataframe.ipynb
numerization_final_dataframe.ipynb
 
 
numerization_final_dataframe_1station.ipynb
numerization_final_dataframe_1station.ipynb
 
 
regression_1station_not.ipynb
regression_1station_not.ipynb
 
 
regression_1station_partially.ipynb
regression_1station_partially.ipynb
 
 
regression_onemodel_all.ipynb
regression_onemodel_all.ipynb
 
 
regression_onemodel_each.ipynb
regression_onemodel_each.ipynb
 
 
sampled_variation.ipynb
sampled_variation.ipynb
 
 
station.csv
station.csv
 
 
station_popularity.ipynb
station_popularity.ipynb
 
 
station_to_int_all.npy
station_to_int_all.npy
 
 
trip.csv
trip.csv
 
 
type_user.ipynb
type_user.ipynb
 
 
weather.csv
weather.csv
 
 
ytot_to_keep_all.npy
ytot_to_keep_all.npy
 
 

README.txt

A Network Tour of Data Science
EPFL Course EE-558
15/01/2017

Project: Bike Sharing Demand
Author: Vincent Hardy

The reader should only refer to the main file: Project_Main.ipynb
Other files are directly accessible from this main file.

N.B: The IPython modules attached to this project must be run in the same order as the main file.

2 IPython modules are extremely time consuming (about 30 mins each on my computer):
- create_sampled_data_each_station.ipynb
- regression_onemodel_all.ipynb
To avoid running them, the main file is loading a numpy array attached to this report.