jdamiani27 / Intro-to-Machine-Learning
Udacity Intro to Machine Learning class code
☆29Updated 10 years ago
Alternatives and similar repositories for Intro-to-Machine-Learning:
Users that are interested in Intro-to-Machine-Learning are comparing it to the libraries listed below
- This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apach…☆115Updated 7 months ago
- Data Analyst Nano-degree Projects, Deep Learning, Android, some front end stuff☆72Updated 6 years ago
- Sample for building a movie recommender with GraphLab Create.☆37Updated 8 years ago
- ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.☆175Updated last year
- This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.☆12Updated 8 years ago
- Supporting content (slides and exercises) for the Addison-Wesley (Pearson) video series covering best practices for developing scalable S…☆66Updated 9 years ago
- ☆77Updated 8 years ago
- This repository contains code files specifically IPython notebooks for the assignments in the course "Scalable Machine Learning" by UC Be…☆30Updated 9 years ago
- Archived work from Udacity nanodegrees☆70Updated 3 years ago
- AWS, Vagrant, and Spark☆21Updated 9 years ago
- Map-reduce, streaming analysis, and external memory algorithms and their implementation using the Hadoop and its eco-system: HBase, Hive,…☆34Updated 7 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆127Updated 8 years ago
- Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).☆234Updated 2 years ago
- An API to Analyze Cab GeoLocation Data and a Simulated App for finding an available cab in Real-Time☆63Updated 10 years ago
- Code example to predict prices of Airbnb vacation rentals, using scikit-learn on Spark with spark-sklearn, on MapR.☆44Updated 8 years ago
- project solutions to Udacity's Machine Learning Nanodegree☆22Updated 8 years ago
- Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke☆90Updated 7 years ago
- General Assembly's Data Science course in Washington, DC☆184Updated 2 years ago
- ☆87Updated 9 years ago
- Codes, notes and guides on Udacity's machine learning nanodegree.☆83Updated 8 years ago
- General Assembly repo for Data Science 18☆36Updated 9 years ago
- Project work for the Udacity Data Analyst Nanodegree☆38Updated 7 years ago
- Code from Jason Brownlee's course on mastering machine learning☆124Updated 8 years ago
- Workshop: Python for Data Science☆62Updated 10 years ago
- First commit to☆40Updated 6 years ago
- Code for O'Reilly's "A Short Course on TensorFlow"☆103Updated 7 years ago
- Churn Prediction with PySpark using MLlib and ML Packages☆56Updated 9 years ago
- This repository contains materials for demos, tutorials, and talks by Dato Inc.☆172Updated 8 years ago
- Projects for Udacity's Machine Learning Engineer Nanodegree☆31Updated 8 years ago
- Udacity Deep learning nanodegree projects☆50Updated 7 years ago