Aman Sawarn's repositories
MPST-Movie-Plot-Synopsis
A dataset of movie plot synopses with story related tags
Scraping-Naukri.com-in-Python
In this scraping project, I scrape job postings from Naukri.com a job aggregator site.
Medical-Report-Generation-Using-X-Ray-Images
Taking X-Ray images and generating reports on it
Real-or-Not--NLP-with-Disaster-Tweets
https://www.kaggle.com/c/nlp-getting-started
Self-Driving-Cars
Building a Simple Model for a Self Driving car to predict the steering angle based on the data from Front Camera
Data-Science--Cheat-Sheet
Cheat Sheets
NLP_Practice_Codes
Practice Repository
CS224n
CS224n Natural Laungage Processing Assignments
Keras-GAN
Keras implementations of Generative Adversarial Networks.
bidaf-keras
Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
Donor-Choose-Automation
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.
Quora-Insincere-Question-Prediction
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.
Human-Activity-Recognition
Machine Learning and Deep Learning Models to predict Positions from Fitbit Dataset
Quora-Question-Pair-Similarity
Identifying if two questions are similar, when two questions mean something similar, but have different words
Amazon-Fashion-Discovery-Engine
RECOMMEND SIMILAR APPAREL PRODUCTS USING PRODUCTS DESCRIPTION
Taxi-Demand-Prediction-in-New-York
Taxi Demand prediction of yellow cabs in different areas in NEW YORK