{"push_id":2424812246,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"c79ddfff6e9c07b01af47f513837d0217353a62c","before":"30158f45f0dd33af0489e293ba1d88f81fb22a45","commits":[{"sha":"c79ddfff6e9c07b01af47f513837d0217353a62c","author":{"name":"Kshitij Bhargava","email":"80eceaaa10349a070319b9d867fd22d8a7bb2ef8@gmail.com"},"message":"Time Series Analysis of Airline Data\n\nThe Goal of this project is to analyze airline passenger data through time series analysis. Understanding  travel trend of people travelled across different  months of the year.  The Time series data modeled through ARIMA model.  The ARIMA model  is used to validate current time series data as well predicting possibilities of people travelled  different months of  the year.","distinct":true,"url":"https://api.github.com/repos/bharagavafirst/Subscribe-Bank-Term-Deposit/commits/c79ddfff6e9c07b01af47f513837d0217353a62c"}]}
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