dthai91 Goto Github PK

2014_fall_astr599

Content for my Astronomy 599 / Applied Math 500 Course: Intro to scientific computing in Python

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

cambridgespark-webapp

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

cs7641

Machine Learning

data-science-from-scratch

code for Data Science From Scratch book

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

dthai91.github.io

web frontend

edx-platform

The Open edX platform, the software that powers edX!

freecodecamp

The https://freeCodeCamp.com open source codebase and curriculum. Learn to code and help nonprofits.

front-end-guide

📚 Study guide and introduction to the modern front end stack.

fullstack-course1-module2

interactive-coding-challenges

Huge update! Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

ipython-notebooks

A collection of IPython notebooks covering various topics.

labs-fa17

Lab notebooks for the Fall 2017 offering of Georgia Tech's CSE 6040

machine-learning-articles

Monthly Series - Top 10 Machine Learning Articles

moocdrop

moocrp

moocRP: an open-source learning analytics Research Platform

pandas_tutorial

Pandas tutorial for SciPy2015 and SciPy2016 conference

post-acceptance-prepwork

prep-work

preparatory material for interviewing with App Academy

pycon-pandas-tutorial

PyCon 2015 Pandas tutorial materials

python-articles

Monthly Series - Top 10 Python Articles

python-ml-case-studies

Source code for 'Python Machine Learning Case Studies' by Danish Haroon

python-seminar

Python Seminar Course at UC Berkeley (AY 250)

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

r-network-visualization-workshop

Static and dynamic network visualization with R - code and tutorial from Polnet 2016 workshop.

real-world-machine-learning

Code accompanying the Real-World Machine Learning book

recommenders

Recommender Systems