Run Node.js code in Python notebooks
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Updated
Apr 22, 2019 - Jupyter Notebook
Run Node.js code in Python notebooks
A IBM Developer code pattern for Watson Studio: forecast the stock market with Python Notebooks, SPSS Modeler, Data Refinery, and other Watson Studio tools.
Resources for weekly Data Science Lunch & Learns
In this workshop you will learn about pandas and geopandas by exploring UK Crime Data in a Jupyter notebook
Create and deploy a predictive model using Watson Studio and Watson Machine Learning
Walkthrough the data science life cycle with different tools, techniques, and algorithms. Use AIF360, pandas, and Jupyter notebooks to build and deploy a model on Watson Machine Learning.
Use Watson Visual Recognition and Core ML to create a Kitura-based iOS game that has a user search for a predetermined list of objects
A Jupyter notebook that uses the Watson Visual Recognition and Natural Language Understanding services to enrich Facebook Analytics and uses Cognos Dashboard Embedded to explore and visualize the results in Watson Studio
Use a robot to answer queries on financial data by integrating with the IBM Watson Assistant service and IBM Watson Studio
Analyze large data sets collected from a long-range IoT system that uses LoRaWAN networking
Use Machine Learning to Predict Bank Client's CD Purchase with XGBoost and Scikit Learn in Watson Studio
Use AutoAI to detect fraud
Peer-Graded Assignment: Capstone Project Notebook | Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.
WARNING: This repository is no longer maintained
This workshop walks you though some of the most interesting features of pandas using structured data that contains information about the boroughs in London.
Use Watson Analytics and Pixie Dust to visualize US Food Insecurity
Use Watson Studio and PyTorch to create a machine learning model to recognize hand-written digits
Can we build a neural network that can tell the difference between Stephen Colbert and Conan O'Brien? Yes, yes we can!
In this notebook I have tried to use all the classification algorithms that I have learned in Machine Learning with Python course authorized by IBM.
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