aman-sawarn Goto Github PK
Name: Aman Sawarn
Type: User
Bio: Data Science || ML Engineering || Recommender Systems
Location: New Delhi
Name: Aman Sawarn
Type: User
Bio: Data Science || ML Engineering || Recommender Systems
Location: New Delhi
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Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
CS224n Natural Laungage Processing Assignments
Cheat Sheets
Training, Testing, visualization and comparison on various vectorizers like Bag of words, TF-IDF, Word2vec, and TFIDF-Weighted Word2Vec
DonorsChoose is a platform where teachers request funds for their students for educational purposes. There are huge amount of proposals from teachers to be reviewed by volunteers and it's still increasing. We(with Fei Li) cleaned the data, did feature engineering(including NLP techniques to extract features from texts) and built a high-performance (AUC 0.81) predictor/classifier with Ensemble method (Gradient Boost, GRU, Random Forest, etc.). It can help to automatically choose which proposals to approve. Based on the predictor, volunteers need only to focus on the marginal cases and this greatly reduce unnecessary labor.
Using GANS for various Purposes
An example of optimization using the Greedy Algorithms
The Haberman's survival dataset contains cases from a study that was conducted between 1958 and 1970 at the University of Chicago's Billings Hospital on the survival of patients who had undergone surgery for breast cancer.
Machine Learning and Deep Learning Models to predict Positions from Fitbit Dataset
Base repository for IMAD V2 course application. PLEASE DO NOT submit PRs, or push to this git repository!
Jack the Reader
Keras implementations of Generative Adversarial Networks.
Taking X-Ray images and generating reports on it
Classifying the .asm files into 9 classes of Malware
A dataset of movie plot synopses with story related tags
Practice Repository
This is a data taken from Kaggle Quora Insincere question prediction. The aim of this competion was to will develop models that identify and flag insincere questions. To date, Quora has employed both machine learning and manual review to address this problem. With your help, they can develop more scalable methods to detect toxic and misleading content.
Identifying if two questions are similar, when two questions mean something similar, but have different words
Random Forest Classifier Example and XGBoost algorithm applied on Amazon fine food reviews
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
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