Khanh Nguyen's repositories
numerical-mooc
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
git
Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.
python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
moviegeek
A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
ISLR
Practice on Introduction to Statistical Learning by Hastie & Tibshirani
Duke-statistics
Practice and submission for Coursera's Statistics specialization with Duke University
pdb-basics
Python Debugging with pdb
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
UCSD-Micromasters
Work done in UCSD Data Science Micromaster
Strang-Linear-Algebra
Exercises in Strang's Linear Algebra
Python-data-science-handbook
Work exercises in Python data science handbook
R-for-data-science
Work from reading Wickham's R for data science book
Michigan-Data-Science-Specialization
Courses taken from Data Science Specialization from Coursera's University of Michigan
The-Probability-Lifesaver
Exercises from Miller's The Probability Lifesaver
coding-the-matrix
Work problems in Klein's Coding the Matrix
learning-R
Exercises from Learning R book by Richard Cotton
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
The-art-of-R-programming
Practice from Matloff's The Art of R Programming
ThinkJavaCode
Supporting code for Think Java by Allen Downey and Chris Mayfield.
JHU
Coursera Data Science specialization (with R) from Johns Hopkins University
freedman-statistics
Practicing exercises from Freedman's Statistics using Python
head_first_python
Practice with Head First Python book
grokking_algorithms
Code for the book Grokking Algorithms (http://manning.com/bhargava)
PCC
Python Crash Course practices
Gaddis
Practice for Gaddis' Starting out with Python book