IBM Developer MEA's repositories
YPDL-SentimentAnalysis-LR
While Deep Learning is a subset of Machine Learning, the prediction methodology in deep learning is different and works similar to how a human brain uses neural pathways to process information & learn from it. In this workshop we will learn about the building blocks of deep learning, neural networks, and how they work. We'll start with Logistic Regression - a simple and basic neural network classification algorithm, having just a one-layer neural network. These are the resources for the first session of Your Path to Deep Learning.
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.
YourPathToDeepLearning
Sequel to our infamous Your Path to AI Series. We are introducing this new advanced level series for audience interested to specialise in Deep Learning. This repository holds all the resources for the series for you to catch up in case you have missed it.
YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras
Build a recurrent neural network using TensorFlow and Keras.
Gain-hidden-insights-from-your-data-using-IBM-Watson-Studio
This repo demonstrates features within IBM® Watson™ Studio that help you visualize and gain insights into your data, then cleanse and transform your data to build high-quality predictive models.
Recurrent-Neural-Networks-using-TensorFlow-Keras
Build a recurrent neural network using TensorFlow and Keras.
YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow
Identify Handwritten Digits using CNN with TensorFlow
zero-hunger
2021 Call for Code Global Challenge solution starter kit: Zero hunger.
automate-model-building-with-autoai
This repo contains the assets used for a workshop in the MEA Developer Summit 2021 where we use IBM's AutoAI service to build a telco churn predictive machine learning model.
explore-operators
Repository for IBM DTE OpenLabs samples
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)
Quick-and-Easy-PredictiveML
In this tutorial, we will use Watson Studio to build a predictive machine learning model with IBM SPSS Modeler and decide whether a bank customer will default on a loan. IBM Cloud Pak® for Data is an interactive, collaborative, cloud-based environment that allows developers and data scientists to work collaboratively, gain insight from data and build machine learning models.
Build-and-Compare-your-Machine-Learning-Models-the-Easy-Way-with-IBM-SPSS-Modeler
This repo containst the assets used for a workshop we use IBM SPSS Modeler 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.
carekit-hyperprotect-lab
CareKit is an open source framework that helps users better understand and manage their health by creating dynamic care plans, tracking symptoms, connecting to care teams, and more. CareKit itself doesn’t include a back end, so it’s up to the developers to include a back end of their choice. This typically means implementing the synchronization API for their cloud provider of choice. IBM was one of the first cloud providers to implement the synchronization API, and consumed the Hyper Protect set of offerings to provide a HIPAA-ready back end.
CFC-Water-Ridgewood
The example Node-RED flows and dashboards can help you build a water quality dashboard using GeoJSON. After completing this tutorial, you will be ready to modify these example flows and dashboards to create your own map and data visualization solution.
Loan-Bank-Transactions-Cognos-Embedded
This repo contains the materials for a workshop that shows how to gains insights and visualize data for a credit score/loan bank transactions use case.
EMEA-Regional-Deploy-your-AI-models-using-Serverless-Containers
This tutorial explains how to use the IBM Cloud Code Engine managed serverless platform system to deploy the Model Asset Exchange (MAX).
watson-assistant-with-search-skill
Build a Node.js chatbot that uses Watson Assistant search skill to query an owner's manual
A-Currency-Conversion-App
Let's deploy a currency conversion app using Red Hat OpenShift!
code-engine-microservices
Deploy a Microservices App to IBM Cloud Code Engine
Cross-Sell-in-Banking
This is a CP4D demo asset that focuses on Up/Cross sells in the Banking industry focusing on targeting customer for the right products. In other words it predicts which customers are more likely to buy a specific product. This allows banking sector employees to determine what services their customers would be interested in.
Enhance-COVID-Communication
In times of crisis, chatbots can help people quickly find answers they need to critical questions. In the case of a pandemic like COVID-19, people might be trying to find basic information about testing, symptoms, community response, and other resources.
Explore-build-simple-node-js-python-using-cloud-functions
This repo contains the content on how to build basic serverless Node.js and Python apps with Cloud Functions. This is an introductory workshop to get started with the Cloud Functions platform.
go-serverless-in-watson-assistant-with-ibm-cloud-function
This repo contains the assets used for a workshop where we use IBM Watson Assistant, IBM Cloud Functions and IM Object Storage to build a serverless chatbot.
Going-Serverless-in-Watson-Assistant
This repo contains assets for a webinar that shows how to build a Watson Assistant chatbot integrated with IBM Cloud Functions
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.
Solution-Starter-Kit-Energy-2020
Materials for the Call for Code 2020 solution starter kit for energy sustainability in the context of climate change.