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.
☆48Updated 3 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
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 2 years ago
- Use AutoAI to detect fraud☆33Updated 2 years ago
- Create a web application that uses the IBM Decision Optimization's prescriptive analytics model, to choose which plant to order items fro…☆34Updated last year
- Watson Openscale sample assets, notebooks and apps.☆38Updated 3 weeks ago
- Streamlit example showing Scikit Learn & Pyspark ML over Healthcare data ! Its simple !!☆30Updated 4 years ago
- Hands-on Python + IBM Watson lab being presented at IBM Think2018 conference in March 2018☆18Updated 7 years ago
- Repository for storing IBM Industry Accelerator for Cloud Pak for Data artefacts☆28Updated 2 months ago
- Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data☆65Updated 4 years ago
- 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
- Monitor performance, fairness, and quality of a WML model with AI OpenScale APIs☆13Updated 3 years ago
- Insurance fraud claims analysis project☆54Updated last year
- Walkthrough the data science life cycle with different tools, techniques, and algorithms. Use AIF360, pandas, and Jupyter notebooks to bu…☆46Updated 5 years ago
- Sample notebooks that are published by IBM for IBM Data Science Experience.☆61Updated last week
- An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell☆76Updated 2 years ago
- Create and deploy a predictive model using Watson Studio and Watson Machine Learning☆51Updated 3 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated 10 months ago
- n this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the fi…☆18Updated 4 years ago
- ☆26Updated 3 weeks ago
- Codes for replication and implementation of techniques in our credit risk article☆34Updated 6 years ago
- A demonstration of the AI Fairness 360 toolbox for bias metrics, explanations, and remediation. Code Pattern: https://developer.ibm.com/…☆31Updated 5 years ago
- Source Code for 'AI for Healthcare with Keras and Tensorflow 2.0' by Anshik Bansal☆15Updated 3 years ago
- This collection demonstrates how to help you to quickly embed Watson NLP in your own applications.☆52Updated 4 months ago
- This repo serves as code reference for the following TDS post https://towardsdatascience.com/a-starter-pack-to-exploratory-data-analysis-…☆15Updated 5 years ago
- ☆32Updated 4 years ago
- A Node.js web app that uses the Watson Discovery News service to query and view the latest trending news items.☆42Updated 3 years ago
- IBM watsonx.ai sample models, notebooks and apps.☆130Updated last week
- Deploy a Custom Machine Learning engine and Monitor Payload Logging and Fairness using AI OpenScale☆12Updated 2 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 5 years ago