Eriayomide/Implementing-Facebook-prophet-for-sales-forecating Eriayomide/Implementing-Facebook-prophet-for-sales-forecating

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created over 3 years ago
  • Updated about 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
Eriayomide/Implementing-Facebook-prophet-for-sales-forecating
github

Eriayomide

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

implementation of sales forecasting with SARIMA and Facebook prophet, this project works tends to implement two models for forecasting sales for a period of 5 years.

More Repositories

1

Recommendation-Engine

The aim of this project is to build a recommender system that uses collaborative filtering techniques with implicit feedback in python that can recommend the next best products to customers based on historical purchases
Jupyter Notebook
2
star
2

AHG-5Years-Sales-Forecast

Creating a sales forecast of 5 years for AHG in all the regions where they have presence using seasonal Arimal model with Facebook prophet
Jupyter Notebook
1
star
3

Market-Basket-Analysis-for-AHG-Group

Jupyter Notebook
1
star
4

Prospective_Donor-Analytics

Building a machine learning model to predict prospective donor so that the organization could focus their campaign on only those has the attribute of the past donor.
Jupyter Notebook
1
star
5

Customer-Churn-modelling

This project takes all inclusive approach to determine customers who are likely to churn based on certain criteria
Jupyter Notebook
1
star