khileshchauhan Goto Github PK

practical-projects-with-keras-2x-elearning

Explore deep learning and neural network methodologies with Keras 2.x

predicting-the-potential-fraudulent-provider-under-healthcare-claims-

Predicting the potential fraudulent Provider under healthcare claims: Fraud and abuse together account for significant proportion of the tax dollars and thus have adverse impact on the society at large. Generally, physicians and providers are charged with fraud. For the purpose of this problem, we focus on fraud by providers only. If convicted, Providers involved in Medicare fraud may be excluded from participating in all Federal health care programs for a designated period or until reinstatement and/or they may lose their professional licenses. In addition, they may incur criminal and civil liability. Task: The aim was to create an analytical and modeling framework to predict the potential fraud (Yes/No) by provider for submission of fraudulent claims to the insurer for reimbursement of claim amounts.Techniques: Logistic Regression, Decision Tree, Random Forest, Adaboost, Gradient Boosting, XGBoost.

predictionio

PredictionIO, a machine learning server for developers and ML engineers.

predictionio-sdk-python

PredictionIO Python SDK

predictive-maintenance-using-machine-learning

Set up end-to-end demo architecture for predictive maintenance issues with Machine Learning using Amazon SageMaker

predictive-user-engagement

Predictive User Engagement is a turnkey solution that enables developers to quickly and easily add personalization to web and mobile applications, utilizing real-time usage data to personalize recommendations and notifications – all without having any machine learning expertise.

presto

The official home of the Presto distributed SQL query engine for big data

prhero

probability

Probabilistic reasoning and statistical analysis in TensorFlow

professional-services-data-validator

Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match

prometheus-configmanager

Prometheus Configmanager consists of two HTTP based configuration services for Prometheus and Alertmanager configurations. Configmanager provides an HTTP API to modify these configuration files remotely over HTTP, allowing quick and easy adjustments to your prometheus alerting and monitoring system..

property-tax-fraud-detection-project-

Project 1 for fraud analytics class

protobuf

[Looking for new ownership] Protocol Buffers for Go with Gadgets

publicnotes

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pyre-check

Performant type-checking for python.

pysystemtrade

Systematic Trading in python

pytest

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

python

All Algorithms implemented in Python

python-comdb2

Python API to Bloomberg's comdb2 database.

python-github-webhook

A framework for writing webhooks for GitHub, in Python.

python-iam

python-xml-hl7

A library for parsing HL7 (version 2.x) messages in XML format into Python objects

python-zulip-api

python_for_data_science

A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pywaffle

🧇 Make Waffle Charts in Python.

qbsolv

Qbsolv,a decomposing solver, finds a minimum value of a large quadratic unconstrained binary optimization (QUBO) problem by splitting it into pieces solved either via a D-Wave system or a classical tabu solver. (Note that qbsolv by default uses its internal classical solver. Access to a D-Wave system must be arranged separately.)

qsharp

qstreaming

A simplified, lightweight ETL pipeline framework for build stream/batch processing applications on top of Apache Spark