Pinned Repositories
medicare-fraud-detection
A machine learning based application to help detect fraud among Medicare practitioners.
sandeshregmi's Repositories
sandeshregmi/behaviouralAnalysis
Sentiment analysis (sometimes known as opinion mining or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine.
sandeshregmi/community-lfm
Code for predicting risky behavior in social communities.
sandeshregmi/DAT18NYC
General Assembly repo for Data Science 18
sandeshregmi/k-means-clustering
Repository for my 'K-Means Clustering with Scikit-Learn' talk materials.
sandeshregmi/Machine_Learning_In_R
Various Machine Learning models in R
sandeshregmi/Medicaid
Medicaid Code
sandeshregmi/medical-data
sandeshregmi/Ngram-Tutorial
Building a basic N-gram generator and predictive sentence generator from scratch using IPython Notebook
sandeshregmi/notebooks
collection of iPython notebooks
sandeshregmi/outlier_kde
Using kernel density estimation to detect outliers in California's medicare data
sandeshregmi/pycon-2016-tutorial
Machine Learning with Text in scikit-learn
sandeshregmi/scraperwiki-scraper-vault