autoai

There are 18 repositories under autoai topic.

  • gradsflow-automl

    gradsflow/gradsflow-automl

    An open-source AutoML Library based on PyTorch

    Language:Python306115135
  • autoai

    blobcity/autoai

    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.

    Language:Python17267343
  • xqlin98/INSTINCT

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

    Language:Python34122
  • IBMDeveloperMEA/Fraud-Loan-Predictions-using-Automated-Machine-Learning

    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.

    Language:Jupyter Notebook9106
  • IBMDeveloperMEA/MEA-Regional-Event-Data-AI

    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)

  • IBMDeveloperMEA/Modernize-ML-Workflow-Integrate-a-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 Twilio. We will be using Twilio’s sandbox to show how this integration works.

  • IBM/Connect-your-Machine-Learning-models-to-chatbot-and-WhatsApp

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

  • Keshabkjha/Edunet-Foundation-Internship

    Welcome to my repository, here I will be sharing all the study material, tasks, amd the projects that i did during this internship.

    Language:Jupyter Notebook2100
  • MikolajMydel/projekt-IBM

    Language:Jupyter Notebook20
  • GaneshJainarain/TelcoCustomerChurn_AutoAI_ML

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

  • IBMDeveloperMEA/Rapid-Machine-Learning-Development-using-Low-Code-Applications

    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 will be focusing on Customer Churn using AutoAI

  • nikita9604/Detecting-Phishing-Websites-on-IBM-Cloud

    PhishFinder - Detecting Phishing Websites using Machine Learning on IBM Cloud

    Language:Jupyter Notebook1102
  • Ayush-hm/IBM-AI-Analyst-Notes

    Notes of IBM Artificial Intelligence Analyst Course

  • fawazsiddiqi/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.

    Language:Jupyter Notebook101
  • IBMDeveloperMEA/CreditRisk-AISummit

    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 pattern, we will focus on building state of the art systems for churning out predictions which can be used in different scenarios.

    Language:Jupyter Notebook
  • IBMDeveloperMEA/Data-Science-Lifecycle-Collect-Clean-Predict-Analyze-your-Data

    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 and predict our customer chrun.

  • IBMDeveloperMEA/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.

    Language:Jupyter Notebook
  • IBMDeveloperMEA/Stirling-University-x-IBM-Data-Science-Lifecycle

    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.