Develop a forecasting model

Закрыт Опубликован 1 год назад Оплачивается при доставке
Закрыт Оплачивается при доставке

Problem description

"Click count" refers to the number of visits/sales of products on a particular date. Based on the data, we have visible annual seasonality with few surges of demand across the year. The organization intends to develop a method using machine learning capabilities to get a look ahead on future sales. The primary concern is to have a forecast with high accuracy during the peak season without compromising the solution quality for rest of the year. Based on the forecast, inventory planning and necessary investments will be determined.


Exploratory data analysis to obtain useful insights

Development of features that enhances ML model performance

Implementation of one or more machine learning models to obtain good results

Ability to forecast at least 30 days into the future i.e. last date in the problem + 30 days

Reasonably good model performance i.e. MAPE 10% or less, including peak season

Статистика Алгоритмы Python Machine Learning (ML) Deep Learning

ID проекта: #33547055

О проекте

3 заявок(-ки) Удаленный проект Последняя активность 1 год назад

3 фрилансеров(-а) готовы выполнить эту работу в среднем за ₹6950


Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several comp Больше

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Hello, Thank you for your inquiry. Going through the detail we have got a hi-level view of the requirement. First off, to build the proposed system we need to perform ETL to build exploratory data analysis. We believ Больше

₹4800 INR за 1 день
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