An open-source AutoML Library based on PyTorch

Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.

This is the official implementation for the paper: Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers

This repo contains the assets used for a workshop where we use IBM's AutoAI service to build a credit risk predictive machine learning model that help in deciding whether a bank should accept a customer's loan application or reject it.

These are all the resources for the MEA Regional Event - Data Science & AI for Everyone (https://www.crowdcast.io/e/ddc-mea2021/1) that was a part of the Digital Developer Conference: Data & AI (https://ibm.biz/devcon-ai)

Modernize your Machine Learning Workflow with Low Code Tools & Quickly Integrate a Machine Learning Model in your Chatbot & Deploy to Whatsapp

Now a days businesses also use chatbots to increase productivity and provide a better customer experience. This demo aims to automate the banking experience for customers regarding loan applications using Watson Studio machine learning, Cloud function, and then extend the Watson Assistant chatbot’s capabilities by connecting it to WhatsApp using…

Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs

PhishFinder - Detecting Phishing Websites using Machine Learning on IBM Cloud

Create an end-to-end AI solution that will help predict insurance premium cost with IBM Watson Studio and AutoAI.

Create an end-to-end AI solution that will help predict insurance premium cost with IBM Watson Studio and AutoAI.

AutoAI is a tool that automates machine learning tasks to ease the tasks of data scientists. It automatically prepares your data for modeling, chooses the best algorithm for your problem, and creates pipelines for the trained models, and it can be run in public clouds and in private clouds, including IBM Cloud Pak for Data. In this workshop we w…

Automation and artificial intelligence (AI) are transforming businesses and will contribute to economic growth via contributions to productivity. They will also help address challenges in areas of healthcare, technology & other areas. At the same time, these technologies will transform the nature of work and the workplace itself. In this code pa…

In this workshop we will talk about the Data Science Lifecycle and what all data scientists do in their day-to-day jobs. We will be also showing you some tools to get started with your journey in the world of data science.

Customer churn is an important aspect for any business, it gives them insights about their prospective customers. In this tutorial we will be predicting customer churn of car owners. We will be utilizing Watson data refinery to alter our data, and then use AutoAI to rapdliy develop a classfication machine learning model in a matter of minutes an…