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1. Information-Retrieval Information-Retrieval Public

   Contains various methods and models that makes retriving of informtion more simplier.

   Jupyter Notebook 5 2

2. Classification-of-B-cell-epitopes-using-Deep-Learning Classification-of-B-cell-epitopes-using-Deep-Learning Public

   In this competitions, one had to develop models using TensorFlow (Python Library) to classify B-cell epitopes and Non-epitope. Developed model is clearly explained in "MT19132_Readme.pdf" file

   Jupyter Notebook 1 1

3. Opinion-and-Fact-Classification Opinion-and-Fact-Classification Public

   In the present-day technology huge amount of data is being generated every day. So, it’s turning out to be a challenging task to handle text-based data. In the world of text-based sentences it is n…

   Jupyter Notebook 1

4. Diabetes-Prediction-Using-Ensemble-Techniques Diabetes-Prediction-Using-Ensemble-Techniques Public

   Diabetes is one of the most commonly known chronic diseases, leading to complications in health if it is unidentified and not diagnosed. Implemented various machine learning algorithms on the data …

   Python 1

5. Stage-Classification-of-Liver-Cancer Stage-Classification-of-Liver-Cancer Public

   Stage classification of liver cancer patients from thier gene expression profile. Models used are : KNN, Naive Bayes, SVM, LSTM

   Jupyter Notebook 1

6. Terinary-Classification-based-on-relevance-score Terinary-Classification-based-on-relevance-score Public

   Ranking based on Relevance Score. The objective of the project is to predict the relevance score {0, 1, 2} for a given (query, document) pair feature vector in the test set.

   Python