IBM / predict-insurance-charges-with-autoai
Create an end-to-end AI solution that will help predict insurance premium cost with IBM Watson Studio and AutoAI.
☆49Updated 2 years ago
Alternatives and similar repositories for predict-insurance-charges-with-autoai:
Users that are interested in predict-insurance-charges-with-autoai are comparing it to the libraries listed below
- Create a web application that uses the IBM Decision Optimization's prescriptive analytics model, to choose which plant to order items fro…☆31Updated 11 months ago
- Watson OpenScale tutorials including sample models, notebooks and applications☆21Updated 2 years ago
- Use AutoAI to detect fraud☆33Updated 2 years ago
- Watson Openscale sample assets, notebooks and apps.☆38Updated last month
- Hands-on Python + IBM Watson lab being presented at IBM Think2018 conference in March 2018☆18Updated 6 years ago
- Insurance fraud claims analysis project☆51Updated last year
- Reference architecture for machine learning operations☆37Updated 4 years ago
- Build, deploy and monitor a machine learning model and related application with IBM Cloud, Watson Machine Learning, and Watson OpenScale.☆9Updated 2 years ago
- Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data☆64Updated 4 years ago
- Fraud Detection in Python, DataCamp course☆12Updated 5 years ago
- Streamlit example showing Scikit Learn & Pyspark ML over Healthcare data ! Its simple !!☆30Updated 4 years ago
- Money Laundering Detector is to prove the hypothesis that a solution powered by Machine Learning and Behaviour Analytics will find… -> cu…☆21Updated 6 years ago
- Codes for replication and implementation of techniques in our credit risk article☆32Updated 5 years ago
- Monitor performance, fairness, and quality of a WML model with AI OpenScale APIs☆13Updated 3 years ago
- users.txt☆23Updated last year
- An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell☆74Updated 2 years ago
- Source Code for 'AI for Healthcare with Keras and Tensorflow 2.0' by Anshik Bansal☆15Updated 3 years ago
- This repository is archived. Please navigate to: https://github.com/IBM/watson-machine-learning-samples☆38Updated 4 years ago
- Watson Machine Learning sample models, notebooks and apps.☆113Updated this week
- ☆32Updated 4 years ago
- This project contains codes and notebooks related to various use cases for banking.☆90Updated 6 years ago
- MLgenerator is a web app which help you to generate machine learning starter code with ease.☆29Updated 3 years ago
- XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt☆26Updated 3 weeks ago
- Walkthrough the data science life cycle with different tools, techniques, and algorithms. Use AIF360, pandas, and Jupyter notebooks to bu…☆44Updated 5 years ago
- "' '"☆15Updated 2 years ago
- Build a predictive model to automate the process of targeting the right applicants☆26Updated 3 years ago
- let's create a custom classifier and run analysis with node.red on images.☆12Updated 5 years ago
- Create and deploy a predictive model using Watson Studio and Watson Machine Learning☆51Updated 3 years ago
- This collection demonstrates how to help you to quickly embed Watson NLP in your own applications.☆50Updated last month
- A collection of tutorials, demos, and use cases for IBM Data Science Experience http://datascience.ibm.com/☆14Updated 7 years ago