bsvolkis's repositories
BIO770-DWVR
Seminar course on using R for wrangling and visualizing data
Chemoinformatics-Analysis-Tutorial-with-Knime
Chemoinformatics Analysis Tutorial with Knime
chemprop
Message Passing Neural Networks for Molecule Property Prediction
CodeClinicR
A version of lynda.com code clinic for the R programming language
Coding-the-Matrix
The Coursera course Coding the Matrix: Linear Algebra through Computer Science Applications by Philip Klein
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
data-cleaning-in-python-essential-training-3086536
This is a LinkedIn Learning repo for Data Cleaning in Python Essential Training.
Data-Science-Essentials-Advanced-Algorithms-and-Visualizations
Published by Packt Publishing
datasharing
The Leek group guide to data sharing
LittleInferenceBook
A book for the coursera statistical inference class
machine_learning_examples
A collection of machine learning examples and tutorials.
pySpatialStatistics
Python implementation of geostatistics simulations and estimations as well as variography based on the work by Michael Pyrcz of UT Austin
qgrid-notebooks
Notebooks which will provide a demo of Qgrid functionality
Rcpi
Molecular informatics toolkit with a comprehensive integration of bioinformatics and cheminformatics tools for drug discovery.
sigma_coding_youtube
This is a collection of all the code that can be found on my YouTube channel Sigma Coding.
Statistical-Inference-Coursera
Course Instructor(s) The primary instructor of this class is Brian Caffo Brian is a professor at Johns Hopkins Biostatistics and co-directs the SMART working group This class is co-taught by Roger Peng and Jeff Leek. In addition, Sean Kross and Nick Carchedi have been helping greatly.
swirl_courses
:mortar_board: A collection of interactive courses for the swirl R package.
thinking-in-pandas
Source Code for 'Thinking in Pandas' by Hannah Stepanek
webinars
Code and slides for RStudio webinars