IBM / pixiedust-facebook-analysis
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
☆44Updated 2 months ago
Alternatives and similar repositories for pixiedust-facebook-analysis:
Users that are interested in pixiedust-facebook-analysis are comparing it to the libraries listed below
- Hands-on Python + IBM Watson lab being presented at IBM Think2018 conference in March 2018☆18Updated 6 years ago
- A collection of tutorials, demos, and use cases for IBM Data Science Experience http://datascience.ibm.com/☆14Updated 7 years ago
- A machine learning project trying to predict whether or not a Kickstarter campaign succeeds. Final report in PDF as well. Includes origin…☆12Updated 6 years ago
- Sample notebooks that are published by IBM for IBM Data Science Experience.☆61Updated this week
- Springboard - Data Science Intensive course☆13Updated 7 years ago
- WARNING: This repository is no longer maintained The Insights for Twitter service from IBM Cloud has been sunset. This repository will n…☆11Updated 5 years ago
- A Node.js web app that uses the Watson Discovery News service to query and view the latest trending news items.☆41Updated 3 years ago
- An introductory IBM Developer Code Pattern on how to use PixieDust to visualize customer data☆14Updated 5 years ago
- 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…☆35Updated 4 years ago
- Lending Club Loan data analysis☆45Updated 6 years ago
- The code uses the tweepy library to access the Twitter API and the TextBlob library to perform Sentiment Analysis on each Tweet.☆14Updated 5 years ago
- This is a deprecated Watson Discovery Service Demo. A link to the newly supported demo is below☆76Updated 4 years ago
- This is the code for "AI for Resumes" by Siraj Raval on Youtube☆80Updated 6 years ago
- This is the code for "Keras Explained" by Siraj Raval on Youtube☆37Updated 7 years ago
- Create and deploy a predictive model using Watson Studio and Watson Machine Learning☆51Updated 3 years ago
- An application that monitors a Twitter feed and determines customer sentiment using IBM Watson Assistant, Tone Analyzer, Natural Language…☆78Updated 4 years ago
- Build a recommendation engine with Spark and Watson Machine Learning☆46Updated 5 years ago
- Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark☆32Updated 7 years ago
- ☆46Updated 2 years ago
- A Jupyter notebook using some standard techniques for data science and data engineering to analyze data for the 2017 flooding in Houston,…☆59Updated 2 years ago
- This repository contains my experiments with Scrapy for advanced web scraping in Python☆31Updated 7 years ago
- An overview of the Folium library to visualize Geospatial data☆19Updated 6 years ago
- Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).☆149Updated 7 years ago
- This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview☆40Updated 6 years ago
- Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng☆51Updated 7 years ago
- Accompanying R scripts for tutorials in our new data science book, Numsense!☆16Updated 7 years ago
- projects from dataquest.io☆12Updated 3 years ago
- Data Science and Machine Learning with Python - Hands On from Udemy☆14Updated 7 years ago
- This is the code for "AI in Marketing" by Siraj Raval on Youtube☆101Updated 6 years ago
- Repo for Deep Learning Projects in NLP, GANs, Computer Vision☆19Updated 6 years ago