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This project involves in predicting the demand for a product with new features based on the historical data of demand available for similar and currently existing products using Machine learning algorithms such as Clustering, Regression. The model further uses a method for computing an normalized innovation potential factor for the new feature. This innovation potential can be used to predict the change in sales that can occur because of the addition of the new feature.

License: MIT License

Python 100.00%

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new-product-demand-prediction's Issues

CSV Files are still missing

Only 1 CSV file has been provided whereas the code uses multiple datasets. Please assist by providing the other files as well. The code is difficult to understand without suitable data.

Example files are missing

It looks like there are no example files or an descruiption how they should look like.

Ive been trying to create the Csv's ( Laptopsdata.csv, Newdata.csv, newtech.csv) with 2 lines.
1st line description ( Battery_Life and Sales)
2cnd line random numbers.

Script will fail in the first IF statement in Spyder (python 3.6).

Maybee example files clear up things

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