Saturday, March 2, 2019

Udacity Machine Learning Nanodegree Mega Review Part 9

Udacity Machine Learning Nanodegree (MLND) Capstone Project Guidelines

See more in the series visit the main course outline page

Capstone Proposal
Technical proposal highlighing the real world problem, research done so far, and your research and approach in the field. Identify the correct datasets. Use Kaggle or DevPost to identify a problem. Proposal has to match final project. Kaggle might have already defined some of the requirements. Basic datasets like the MNIST cannot be used. Can use a representative sample of a large dataset. In essence Kaggle is the fastest. Discuss each section of the proposal. Be as detailed as possible. The requirement is high. As always Rubric is the most important evaluation criteria. Provide all important supplement materials.

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