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Predictive-Model-for-Kickstarter-Projects-Success

train9.csv : final training dataset, after droping all mismatched rows, null rows and duplicates.

submission.csv : an output file of the predictions of the success/failure of projects made from Random Forests Algorithm with 99% accuracy. (columns: Project Name, Category, Original Results , Prediction) For Original Results and Prediction columns : 0 = project failed 1 = project was successful

contains list and predictions of projects only from the test set.

Final.ipynb : jupyter notebook with all the code.

Kickstarter1.twb : Tableau workbook with Data visualization

Screenshots from Tableau.

noofprojectscategory

numberofprojectscurrency

dashboard1

dashboard2

time_series1 time_series2 time_series3

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