Fall_2019_Data_Analysis_and_Machine_Learning_for_Experimentalists

Class Content for Fall 2019

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
Connecting to Remote Computers		Connecting to Remote Computers
DASK		DASK
Deep Learning Part 2		Deep Learning Part 2
Deep Learning Part 3		Deep Learning Part 3
Final Project		Final Project
Getting_up_and_running_in_Jupyter		Getting_up_and_running_in_Jupyter
Introduction to Deep Learning		Introduction to Deep Learning
Introduction to GIT		Introduction to GIT
Introduction to MAT 397		Introduction to MAT 397
Introduction to Python		Introduction to Python
Linear Machine Learning Unsupervised		Linear Machine Learning Unsupervised
Linear Machine Learning_Supervised Learning		Linear Machine Learning_Supervised Learning
MongoDB		MongoDB
Pandas Dataframes		Pandas Dataframes
Visual Displays of Graphical Information		Visual Displays of Graphical Information
What Can you Do With Machine Learning		What Can you Do With Machine Learning
pyUSID		pyUSID
.DS_Store		.DS_Store
Getting_up_and_running_in_Jupyter.zip		Getting_up_and_running_in_Jupyter.zip
Introduction to GIT.zip		Introduction to GIT.zip
Introduction to Python.zip		Introduction to Python.zip
LICENSE		LICENSE
Linear Machine Learning_Supervised Learning.zip		Linear Machine Learning_Supervised Learning.zip
README.md		README.md
Syllabus.doc		Syllabus.doc
What We Covered.ipynb		What We Covered.ipynb

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