Sales Forecasting using Machine Learning Project
In the Dashboard user have to provide information for forecasting and calculate the prediction of sale, user have to select year, store id, product item and number of forecasting days then model will analyze the product and after that system will filter the dataset in the different model like random forest, LSTM. and machine learning and deep learning algorithm is also there and all the algorithm have different accuracy and it will generate graphs of trends, random forest sales prediction graphs in that it will show the actual sale and prediction sale. It also generate graph for LSTM model and linear regression. Model also predicts the next day sale prediction by using different algorithm.
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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