Metadata-Version: 2.1
Name: Olles_Little_Data_and_Model_Pack
Version: 0.0.2
Summary: R Passenger dataset but in list and Pandas format. Will later include time series models (will be added later).
Home-page: UNKNOWN
License: UNKNOWN
Description: 1. # Package to Test Time Series Models
        
           * In the end will provide quick access to standard datasets and basic time series models for benchmarking.
           * Example code is found at the bottom of the readme file. 
           
           ## Datasets
           * All datasets are in list and pandas format.
        
           ______
           
           ### Univariate Seasonal Data
           #### Monthly Flight Passenger Demand
           
           * Classic dataset with flight passangers over time from the R data package.
           * flight_list = the data in a list format
           * flight_pandas = the data in pandas dataframe format
           
           ![flight](https://www.solver.com/sites/default/files/Timese1.jpg)
        
        
        ______
        
           ### Univariate Non-Linear Dataset
           #### Daily Gold Prices
        
           * Link: [Kaggle Gold dataset](https://www.kaggle.com/arashnic/learn-time-series-forecasting-from-gold-price)
           * gold_list = the data in a list format
           * gold_pandas = the data in a pandas df format 
        
           ![Gold](https://blog.minitab.com/hs-fs/hubfs/Imported_Blog_Media/time_series_gold_2.gif?width=435&height=294&name=time_series_gold_2.gif)
        
           ## Models (WIP)
        
           * Classic Time Series to benchmark more ambitious models. 
           1. Naive (give in the lag) 
           2. ARIMA
           3. Holt Winter
        
        _______
        
        ### Example Code
        
        import pandas as pd
        
        flight_list
        
        flight_pandas.head()
        
        gold_list
        
        gold_pandas.head()
Platform: UNKNOWN
Description-Content-Type: text/markdown
