watson-studio
There are 105 repositories under watson-studio topic.
pca-deep-dive-using-watson-studio
Perform a deep dive into PCA using Watson Studio
model-mgmt-on-watson-studio-local
Feature Engineering and Model Deployments using Watson Studio Local
YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras
Build a recurrent neural network using TensorFlow and Keras.
covid-analysis
This project shows how to use the full IBM Watson Studio suite to build a solution for health care clients and organizations such as National Emergency and Crisis authorities to evaluate and plan the covid-19 pandemic
getting-started-with-pyspark
In this tutorial, I explained SparkContext by using map and filter methods with Lambda functions in Python and created RDD from object and external files, transformations and actions on RDD and pair RDD, PySpark DataFrame from RDD and external files, used sql queries with DataFrames by using Spark SQL, used machine learning with PySpark MLlib.
analyze-insights-on-startup-using-watson-studio
This code pattern will demonstrate a methodology to show how we can get analytical insights and visualisations from raw data on the Web.
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.
YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow
Identify Handwritten Digits using CNN with TensorFlow
db2-event-store-iot-analytics
IoT sensor temperature analysis and prediction with IBM Db2 Event Store
r4ml-on-watson-studio
Use R4ML, a scalable R package, running on IBM Watson Studio to perform various Machine Learning exercises
proactive-healthcare-management-cpd-aws
In this code pattern, you will learn to build a machine learning model with no code on IBM Cloud Pak for Data, create a streaming flow on AWS Cloud and invoke the model to get predictions in real-time.
Artelligence2021
Within a bank’s loan department, a customer’s application undergoes a lot of scrutiny before a decision of approval or rejection is made. The evaluation process can take a while, which opens the possibility of the bank losing a potential customer. To reduce the decision-making time and to increase the accuracy of the decisions being made, we can now use machine learning solutions. This allows customer representative to make predictions about a loan application quickly.
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.
IBM-PY0220EN-Python-for-Data-Science-Project
Python for Data Science Project
predict-home-value-using-watson-machine-learning-and-db2
Predict home value using IBM Watson machine learning and Db2 database.
RAG-Retrieval-Augmented-Generation
Generative AI - Use Watsonx to respond to natural language questions using RAG (context, few-shot, watson-studio, rag, vector-database, foundation-models, llm, prompt-engineering, retrieval-augmented-generation, milvus).
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
Build-your-Machine-Learning-Models-Efficiently-with-SPSS
In this tutorial, we will use IBM Cloud Pak for Data 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.
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.
IBM-Applied-AI-Specialization
This repository shows all the projects that I have been through the courses using Python and Watson AI API and other Watson Applications such as Watson Studio, Watson Discovery, Visual Recognition and Watson Assistant
machine-learning-patient-records-on-db2
This code pattern shows you how to train a machine learning model to predict type 2 diabetes using synthesized patient health records.
Deploying-machine-learning-model-in-Watson-Studio
A guide on how to deploy a machine learning model as an API using Watson machine learning from IBM
watson-studio-lab
This project is a guide for a training session about Watson Studio. In this training session, the students will create a regression model, a text classifier, an image classifier, and they will understand how an Auto Machine Learning tool works.
Prevent-Outbreaks-of-Infection
Call for Code Challenge 2019
dataScienceIBMWatson
DataSciencePortfolio
Telecom-users-churn-analysis
A customer churn predictor using Watson Studio and Jupyter Notebooks
sample.forecast_with_r
Sample application using Streams Flow demonstrating the usage of R
House-Sales-in-King-County-USA
IBM Data Science project for House Sales Prediction
IBMDeveloper-AutoAI_Tutorial
In this tutorial, the aim is to show the benefits and the usage of AutoAI, IBM Watson service on a use case with a demonstration.
wml-tf-mnist-classifier
Get hands on with Watson Machine Learning and Watson Studio! Quickly train and deploy a TensorFlow MNIST classifier.
watson-studio-deep-learning-demo
Steps to demonstrate deep learning in Watson Studio
demo-overview
IBM Cloud Streaming Demo