Luke A's repositories
data-science-stack
NVIDIA Data Science stack tools
data_cleaning_python_2883183
Data Cleaning in Python Essential Training
doecode
Main repo for managing the new DOE CODE site from the DOE Office of Scientific and Technical Information (OSTI)
elasticsearch-workshop
ElasticSearch Workshop
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.
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Information-Retrieval
Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
MLfromscratch
Machine Learning algorithm implementations from scratch.
msc-entity-matching
Entity matching and record de-duplication project with Amazon Development Centre Scotland
notebooks
Jupyter notebooks using GraphQL APIs by FREYA partners
ppd599
USC urban data science course series with Python and Jupyter
pyADA
A cheminformatics package to perform Applicability Domain of molecular fingerprints based in similarity calculation.
python-for-engineers-and-scientists-2425360
Python for Engineers and Scientists
rcrossref
R client for various CrossRef APIs
rest-api-doc
Documentation for Crossref's REST API. Issues moved to https://gitlab.com/crossref/issues
scikit-learn-tips
:robot::zap: 50 scikit-learn tips
Self-Taught-Machine-Learning
I have had trouble in the past finding a place where I could learn about statistical learning algorithms, resources as to how to learn them and the code associated with it. This is my attempt at remedying that issue.
tsda
Time Series for Data Science - R Code used in Time Series: A Data Analysis Approach Using R
web-scraping-with-python-2848331
Web Scraping with Python