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This is a personal repository, Jessica Morgia. Assigned to the course JHU Machine Learning and Neural Networks (Summer 2017 Term). You can contact me at JHU e-mail: jmorgia1@jh.edu or my personal e-mail: jmodoodles@gmail.com.

github.com/jmodoodles/ml_portfolio_morgia
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mlnn

Machine Learning and Neural Networks Portfolio

Course Instructors

Textbooks

An Introduction to Statistical Learning: with Applications in R

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani

 Deep Learning

Ian Goodfellow, Yoshua Bengio, Aaron Courville

Recommended Textbooks

Data Science from Scratch: First Principles with Python

Joel Grus, SWE Google
(Twitter | LinkedIn | Github)

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Wes McKinney, Creator of Pandas
(Twitter | LinkedIn | Github)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition

Trevor Hastie, Robert Tibshirani, Jerome Friedman

Python Learning Resources

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This is a personal repository, Jessica Morgia. Assigned to the course JHU Machine Learning and Neural Networks (Summer 2017 Term). You can contact me at JHU e-mail: jmorgia1@jh.edu or my personal e-mail: jmodoodles@gmail.com.

github.com/jmodoodles/ML_Portfolio_Morgia

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