marwan1023 / udacity-datascience-nanodegree

Udacity Data Science Nanodegree Repository. Contains lecture notes, and dummy scripts as well as projects undertaken for the nanodegree.

Data Science Nanodegree Repository

Description

"Data scientists interpret, extrapolate from, and prescribe from data to deliver actionable recommendations."

• Udacity

Important files and Notes

The Data Science Nanodegree is split into several sections each with their own lecture materials and projects:

1. Supervised Learning
2. Deep Learning
3. Unsupervised Learning
4. Data Science Blog Post
5. Disaster Response Pipeline (Twitter Webapp)
6. Recommendation Engines
7. Spark ML

Hence, I have broken up the files numerically according to this order.

Learning Material Files:

• Lecture notes as GIMP xcf files (In part 2 notes are in PDF format)
• Folders containing code implementations

Project Files Notes:

• For 02_deep-learning_project
  • Notebooks were written in an GPU enabled workspace. Hence, this file will only work if CUDA is installed on your PC.
  • Data images are also too large to be committed onto GitHub
• For 07_capstone_spark-ML_project
  • Notebook was written in a Spark enabled workspace and will likely not work if you haven't downloaded and installed spark on your local machine.
  • Data Used is only a subset of the whole gigabyte size dataset, also wont be commited onto GitHub

References and Citations#

See project subdirectories