The main task in this challenge is to use time-series to organize and analyze stock and trend data.
The relavent python notebooks is titled forecasting_net_prophet.ipynb
The code was run on Google Colab, and can be viewed at: https://colab.research.google.com/drive/1UPYfOYPBmGXUT4tJlKfBiYLfnbJR3lMb#scrollTo=_-MrtQHnIqck
This code is to be run on Python 3.7.13
The following Python Libraries were also imported and used:
import pandas as pd
import holoviews as hv
from prophet import Prophet
import hvplot.pandas
import datetime as dt
%matplotlib inline
- Find Unusual Patterns in Hourly Google Search Traffic
- Mine the Search Traffic Data for Seasonality
- Relate the Search Traffic to Stock Price Patterns
- Create a Time Series Model by Using Prophet
- (Optional): Forecast the Revenue by Using Time Series Models