/Time-series-analysis-on-Divvy-data

analyze/visualize Divvy Bike Trips dataset and make forecast and detect riding patterns for the morning hours, evening hours, busiest day of the week, busiest month of the year, etc.

Primary LanguageJupyter Notebook

Packages install

  • Scipy
  • Statsmodel
  • Pystan
  • FBprophet
  • Tensorflow
  • Numpy
  • Pandas
  • matplotlib
  • elasticsearch

After installing the required libraries open any of the .ipnyb file and run normally. it will generate the required output.

Source code

  • Elastic_data.ipnyb(Elastic search engine requirement code)
  • Q1-2-3.ipnyb(Data Interpretation, visualisation, FBprophet and Tensorflow requirement code
  • Stats_Model.ipnyb(Statsmodel requirement code)