prodevans / LEAP2.0

Leap 2.0 is a platform offered by Complete open Source Solutions(COSS),where students from different campus irrespective of all platforms can join to explore themselves with the limitless IT world by gaining knowledge on open source cutting edge technologies on demand and get opportunity to work on live projects.

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Revenue Forecasting #17

Open priyagunjate opened 4 years ago

priyagunjate commented 4 years ago

Real world Problems for revenue forcasting:

Many entrepreneurs complain that building forecasts with any degree of accuracy takes a lot of time--time that could be spent selling rather than planning. But few investors will put money in your business if you're unable to provide a set of thoughtful forecasts.More important, proper financial forecasts will help you develop operational and staffing plans that will help make your business a success.

Introduction:

Company fetches the financial data from various clients as individual excel sheets. These sheet are then clubbed as zip file in empirical model sheet . Financial Company calculates regression model using stastical way.BUt we can solve this problem using machine learning.

Objective:

The objective is to forecast sales of revenues from empirical sheet based on past sales. CRY.xlsx

priyagunjate commented 4 years ago

priyagunjate commented 4 years ago

https://machinelearningmastery.com/time-series-data-stationary-python/

priyagunjate commented 4 years ago