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udacity-nanodegrees - :mortar_board: List of Udacity Nanodegree programs with links to the free courses in their curricula

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Udacity offers some great content in their Nanodegree programs. If you don't have the money, and/or just don't want to pay for them, you can take many of the courses for free. While it's no substitute for the actual Nanodegree programs (which include project reviews, additional student and career guidance, and a job guarantee) there is some great content available for learning.

AIND-NLP - Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program

  •    Jupyter

Coding exercises for the Natural Language Processing concentration, part of Udacity's Artificial Intelligence Nanodegree program. You can also download all available NLTK data packages, which includes a number of sample corpora as well, but that may take a while (10+GB).

reactnd-project-readable - The Discussion Forum React-Redux App : A Project for @udacity's React Nanodegree

  •    Javascript

"Talk About React - Student Discussion Board" is a reddit style discussion forum web app, for Udacity’s React Nanodegree second project assignment, "Readable". Users will be able to post content to predefined categories, comment on their posts and other users' posts, and vote on posts and comments. Also, users will also be able to edit and delete posts and comments. This app was built with react, redux, react-redux-router, redux-thunk, material-ui.




iOS-Developer-Nanodegree - Learn how to program apps for the iPhone and iPad

  •    Swift

Learn how to program apps for the iPhone and iPad. Being an iOS Developer is a remarkable occupation, and Udacity designed this Nanodegree program to teach us the skills required to launch the career.

machine-learning-nanodegree - Project Portfolio for Machine Learning Nanodegree by Udacity

  •    HTML

Content for Udacity's Machine Learning curriculum, which includes projects and their notebooks/reports. Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.






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