Pinned Repositories
anviz
Visualization projects with Python, matplotlib and seaborn
Assignment3
Repository for R Programming Assignment 3: Hospital Quality
autograd
Efficiently computes derivatives of numpy code.
blog_code
Caffo-Coursera
A repository of my Coursera latex code and notes
ComplexNumberGrapher
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
covid
Temporal variation in transmission during the COVID-19 outbreak
covid-19-data
An ongoing repository of data on coronavirus cases and deaths in the U.S.
statistics
RInterested's Repositories
RInterested/statistics
RInterested/anviz
Visualization projects with Python, matplotlib and seaborn
RInterested/autograd
Efficiently computes derivatives of numpy code.
RInterested/blog_code
RInterested/ComplexNumberGrapher
RInterested/covid
Temporal variation in transmission during the COVID-19 outbreak
RInterested/covid-19-data
An ongoing repository of data on coronavirus cases and deaths in the U.S.
RInterested/COVID-19-Johns-Hopkins
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
RInterested/covid19-r
Collection of analyses, packages, visualisations of COVID19 data in R
RInterested/cs231n.github.io
Public facing notes page
RInterested/databook_python
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
RInterested/DATASETS
RInterested/Geodesic-Lines-3D
RInterested/Imaginary-Numbers-Are-Real
Code To Accompany YouTube Series Imaginary Numbers Are Real
RInterested/Machine_Learning_1_Andrew_Ng_Coursera
HWs for Andrew Ng's open course Machine Learning
RInterested/Machine_Learning_2
Completed assignments from Coursera Machine Learning course - March 2014
RInterested/Machine_Learning_3
Machine Learning with Coursera
RInterested/Math
Virtual Math Lab
RInterested/NCoVUtils
Utility functions for the 2019-NCoV outbreak
RInterested/notebooks
A collection of my IPython Notebooks
RInterested/poweRlaw
This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cutoff for the scaling region.
RInterested/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
RInterested/tensorflow-mnist-tutorial
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
RInterested/umap
Uniform Manifold Approximation and Projection
RInterested/Workshop_Manifold_Learning
Jupyter Notebooks for Manifold Learning Workshop
RInterested/Doing-Meta-Analysis-in-R
All R code and source files for the online guide "Doing Meta-Analysis with R: A Hands-On Guide"
RInterested/hopf_fibration-1
python animation of the hopf fibration using matplotlib
RInterested/MRI-education-resources
Resources for learning the principles of magnetic resonance imaging (MRI)
RInterested/qrm
qrm
RInterested/R-numtheory
R package that provides number theory functions