https://github.com/surajv311/predict-prices-using-fb-prophet
Using fb-prophet library Python to predict prices.
https://github.com/surajv311/predict-prices-using-fb-prophet
Last synced: 7 months ago
JSON representation
Using fb-prophet library Python to predict prices.
- Host: GitHub
- URL: https://github.com/surajv311/predict-prices-using-fb-prophet
- Owner: Surajv311
- Created: 2020-06-20T07:42:08.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-08-13T03:26:43.000Z (about 5 years ago)
- Last Synced: 2025-01-21T00:28:12.345Z (9 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 4.1 MB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Predict prices using fb-prophet
Before cloning the repo ensure that you have the following libraries installed in your system to run the file.
You may install:
```conda install -c conda-forge fbprophet```
```conda install numpy ```
```conda install matplotlib```
```conda install seaborn```
* fbprophet is a tool intended to help you to do time series forecasting at a scale with ease
* fbprophet uses decomposable time series model with 3 main components: seasonal, trends, holidays or events effect and error.
