yadevi's repositories
StructuralCausalModels.jl
Initial look at directed acyclic graph (DAG) based causal models in regression.
Bios8366
Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
cannonball
Learny Tools for Teaching Statistics
CausalMPE
R Code and simulations associated with the paper "Causal inference considerations for molecular pathological epidemiology" by Nevo et al.
coding-problems
Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures
course20
Deep Learning for Coders, 2020, the website
DALEX
moDel Agnostic Language for Exploration and eXplanation
data-science-blogs
A curated list of data science blogs
Data-Science-Lunch-and-Learn
Resources for weekly Data Science Lunch & Learns
DataScience
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
diagacc
Modelling Diagnostic Accuracy using Latent Class Models
DICOMClient.jl
Julia client for connecting to DICOM (Digital Imaging and Communications in Medicine) servers by using the DICOMweb RESTful services
docs
TensorFlow documentation
foam-template
Foam workpace template
Heart-Failure-Prediction
Study of 12 clinical features por predicting death events
klib
Easy to use Python library of customized functions for cleaning and analyzing data.
matplotlib
matplotlib: plotting with Python
medium_articles
Scripts/Notebooks used for my articles published on Medium
pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
probability
Probabilistic reasoning and statistical analysis in TensorFlow
Python-programming-exercises
100+ Python challenging programming exercises
rmsb
Regression Modeling Strategies Bayesian
runway
Evaluation and Comparison of Prediction Models staty predicty
scikit-learn-tips
:robot::zap: scikit-learn tips
SimExamples
Examples of statistical simulations
svm-r-markdown-templates
I have a suite of R Markdown templates for academic manuscripts, beamer presentations, and syllabi. I share them here.
sweetviz
Visualize and compare datasets, target values and associations, with one line of code.
The-Beginner-s-Guide-EDA
Idea is to going back to basics and understand the fundamentals. I have made an attempt to simplify the concepts which can help the beginners in learning fast.