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bio770-dwvr

Seminar course on using R for wrangling and visualizing data

camb

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

datasciencecoursera

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.

meetup

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.

test-repo

thinking-in-pandas

Source Code for 'Thinking in Pandas' by Hannah Stepanek

ugm_2020

Materials from the (virtual) 2020 RDKit UGM

webinars

Code and slides for RStudio webinars