Alternatives and similar repositories for Predicting-Health-Insurance-Cost:

Users that are interested in Predicting-Health-Insurance-Cost are comparing it to the libraries listed below

• techshot25 / HealthCare
  Insurance cost predictor
  ☆15Updated 6 years ago
• pedrohserrano / anomaly-detection-health-insurance
  📈 EDA and ML on Health Insurance Claims
  ☆18Updated 6 years ago
• Nemshan / predicting-Paid-amount-for-Claims-Data
  Introduction The context is the 2016 public use NH medical claims files obtained from NH CHIS (Comprehensive Health Care Information Syst…
  ☆23Updated 6 years ago
• AvinashSingh786 / Fraud-Analysis
  Insurance fraud claims analysis project
  ☆53Updated last year
• iarroyof / dummy_fraud_detection
  Fraud detection in credit card payments and auto insurance claims using PySpark
  ☆13Updated 6 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆31Updated 5 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• nishant1005 / Credit-Risk-Modeling-using-Machine-Learning
  A study and comparison of Risk Modeling algorithms (Capstone Project)
  ☆33Updated 6 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆20Updated 8 years ago
• jeremyjordan / customer-segmentation
  An example of clustering applied to finding customer segments.
  ☆19Updated 7 years ago
• LiXiling / ml_insurancePred
  Insurance Claim Prediction using Machine Learning - Udacity Nanodegree Capstone Project
  ☆16Updated 8 years ago
• sanjakamer / Healthcare-Data-Analysis
  Medical Billing Data Science in Python
  ☆8Updated 5 years ago
• abhishek-ch / streamlit-healthcare-ML-App
  Streamlit example showing Scikit Learn & Pyspark ML over Healthcare data ! Its simple !!
  ☆30Updated 4 years ago
• Das00130 / Anti-Money-Laundering-using-Keras
  Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).
  ☆50Updated 6 years ago
• OHNLP / MedXN
  MedXN is a medication normalization system built upon Apache UIMA framework.
  ☆23Updated last year
• anishsingh20 / Human-Resource-Analytics-and-Employee-Churn-Prediction
  A Data science and Analytics project with the main aim of doing some Descriptive and Exploratory Data Analysis and then applying predict…
  ☆47Updated 4 years ago
• jphall663 / diabetes_use_case
  Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
  ☆27Updated 9 months ago
• rileypredum / marketing_analytics_sql
  Analyzing and calculating key marketing metrics with SQL and Python
  ☆14Updated 6 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 5 years ago
• sudhamstarun / Understanding-Financial-Reports-using-Natural-Language-Processing
  Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑
  ☆51Updated 2 months ago
• Sardhendu / Data-Science-Projects
  {PySpark, R, Python}: Several Data Science projects
  ☆16Updated 6 years ago
• Mogbo / Customer-Clustering-Segmentation-Challenge
  My work for the KPMG (open to public) challenge for bank customer segmentation based on its annual banking industry survey. Dimension of …
  ☆13Updated 7 years ago
• wiredtoserve / datascience
  Repository to maintain all my clutter
  ☆75Updated 3 years ago
• am-aditya / Artificial-Intelligence-for-Banking
  This project contains codes and notebooks related to various use cases for banking.
  ☆90Updated 6 years ago
• HegdeChaitra / Bank-Marketing-Campaign-Analysis
  Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target
  ☆59Updated 6 years ago
• amanjeetsahu / AI-for-Healthcare-Nanodegree
  Learn to build, evaluate, and integrate predictive models that have the power to transform patient outcomes. Begin by classifying and seg…
  ☆49Updated 4 years ago
• kasaai / explain-ml-pricing
  Towards Explainability of Machine Learning Models in Insurance Pricing
  ☆30Updated 4 years ago
• IBM / telco-customer-churn-on-icp4d
  Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data
  ☆65Updated 4 years ago
• treselle-systems / customer_churn_analysis
  In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…
  ☆60Updated 2 years ago
• Azure / cortana-intelligence-price-analytics
  Price analytics solution based on the double-machine-learning modeling approach
  ☆36Updated last year