IBMDataScience / sample-notebooksLinks
Sample notebooks that are published by IBM for IBM Data Science Experience.
☆60Updated 2 weeks ago
Alternatives and similar repositories for sample-notebooks
Users that are interested in sample-notebooks are comparing it to the libraries listed below
Sorting:
- Repository for storing IBM Industry Accelerator for Cloud Pak for Data artefacts☆29Updated last week
- This repository is archived. Please navigate to: https://github.com/IBM/watson-machine-learning-samples☆38Updated 4 years ago
- A collection of tutorials, demos, and use cases for IBM Data Science Experience http://datascience.ibm.com/☆14Updated 7 years ago
- Hands-on Python + IBM Watson lab being presented at IBM Think2018 conference in March 2018☆18Updated 7 years ago
- Assistant Improve notebooks for Watson Assistant☆69Updated 2 years ago
- TensorFlow 2.x Jupyter Notebooks☆46Updated 5 years ago
- Talks & Workshops by the CODAIT team☆52Updated 4 years ago
- ☆32Updated 5 years ago
- Data Science for Good Projects☆49Updated 6 years ago
- ☆81Updated 6 years ago
- Central Repository of Model Asset Exchange project. This repository contains information about the available models, current project stat…☆147Updated 5 years ago
- A Jupyter notebook using some standard techniques for data science and data engineering to analyze data for the 2017 flooding in Houston,…☆58Updated 2 years ago
- The art of effective visualization of multi-dimensional data☆159Updated 6 years ago
- ☆293Updated 6 years ago
- Managed Machine Learning Systems and Internet of Things Live Lesson☆40Updated 6 months ago
- A Repository consisting of various visualisation libraries and tools☆76Updated 5 years ago
- Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone☆211Updated 5 years ago
- Data Cleaning Libraries with Python☆287Updated last year
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆155Updated 4 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆39Updated 4 years ago
- ☆13Updated 4 years ago
- ⭕️ Data Engineering for Data Scientists☆78Updated 2 years ago
- Machine learning fundamentals lesson in interactive notebooks☆179Updated 4 years ago
- continuous integration rep☆50Updated 6 months ago
- Frank Kane's Taming Big Data with Apache Spark and Python, published by Packt☆123Updated 2 years ago
- Sample Notebooks for PipelineAI☆44Updated 2 years ago
- Deep Learning Workshop for Data Science Go Virtual Event Summer 2020☆36Updated 3 years ago
- Data sets and scripts for Coursera Big Data Specialization.☆167Updated last year
- [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide☆121Updated 6 months ago
- [Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning☆137Updated 6 months ago