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- A multi label classification for identifying the most probabilistic companies a problem might be asked upon in its interview. It includes several approaches like label transformation, algorithm adaption, ensemble learning and LSTM. Base classifiers like Gaussian NB, Multinomial NB, Logistic Regression, Descision Tree, Random Forest and SVC is us…
pro-grepper-website
Publicpro-grepper-api
PublicThe flask api for the pro-grepper. It preprocess the problem statement, fit the vectorizer and predict on the model (label powerset with random forest). It returns JSON object in response.pro-grepper-extension
PublicA chrome extension for codechef and codeforces to automatically tag top n companies where the problem statement on that page will be asked upon in their interviews.