IBM / analyze-customer-data-spark-pixiedustLinks
An introductory IBM Developer Code Pattern on how to use PixieDust to visualize customer data
☆14Updated 6 years ago
Alternatives and similar repositories for analyze-customer-data-spark-pixiedust
Users that are interested in analyze-customer-data-spark-pixiedust are comparing it to the libraries listed below
Sorting:
- A pattern focusing on how to use scikit learn and python in Watson Studio to predict opioid prescribers based off of a 2014 kaggle datase…☆36Updated 5 years ago
- Data Science for Good Projects☆50Updated 7 years ago
- In-class exercises for Deep Learning course at NYC Data Science Academy☆32Updated 7 years ago
- Augment IBM Watson Natural Language Understanding APIs with a configurable mechanism for text classification, uses Watson Studio.☆46Updated 6 years ago
- Few tutorials on pandas, matplotlib and seaborn☆27Updated 9 years ago
- In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…☆44Updated 7 years ago
- A repository filled with various data science projects.☆33Updated 5 years ago
- Code for building a sentiment classifier using classic Scikit-learn and a modern TensorFlow classifier.☆20Updated 7 years ago
- ☆26Updated 6 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 8 years ago
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆31Updated 6 years ago
- An analysis of 93,000+ data science freelancers☆57Updated 9 years ago
- ☆15Updated 7 years ago
- Resources for the Data Mining for Bussiness and Governance course.☆55Updated 5 years ago
- Analyzing NBA data using Spark 2.1☆46Updated 8 years ago
- In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…☆61Updated 2 years ago
- Miscellaneous Jupyter Notebooks for my course.☆24Updated 9 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆17Updated 7 years ago
- Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).☆153Updated 7 years ago
- Build a recommendation engine with Spark and Watson Machine Learning☆46Updated 5 years ago
- ☆39Updated 8 years ago
- tutorials and samples that show you how get the most out of IBM Analytics for Apache Spark☆79Updated 7 years ago
- ☆31Updated 6 years ago
- A code-based tutorial for production level data streaming with PySpark plus Optimus for data cleaning, Confluent Kafka, & Apache Drill u…☆27Updated 6 years ago
- Project template for highly effective data science workflows☆29Updated this week
- A curated list of repositories for my book Machine Learning Solutions.☆80Updated 7 years ago
- ☆101Updated 7 years ago
- Large-scale Graph Mining with Spark☆39Updated 7 years ago
- The art of effective visualization of multi-dimensional data☆163Updated 7 years ago
- A Jupyter notebook that uses the Watson Visual Recognition and Natural Language Understanding services to enrich Facebook Analytics and u…☆44Updated 11 months ago