# About This code is solution to Kaggle competition Amazon Qlearn (https://inclass.kaggle.com/c/amazon-qlearn). It consist of a multiclass text classification problem, where you will have to design and train a classifier that can categorize a question into one of 6 categories (human, location, description, entity, abbreviation or numeric) depending upon what the question pertains to. # Requirements -Anaconda -IPython Jupyter Notebook # How to run Put the code in same folder as of datasets. Open .ipnyb file using Jupyter Notebook and run (Ctrl + Enter) block by block. # Submission file Prediction for test dataset will be made in FinalSubmission.csv file. You need to delete first column of csv to resemble the format of sample submission file.