Pinned Repositories
2020_Wilk_COVID
Reproducibility repository accompanying Wilk, Rustagi, Zhao, et al. "A single-cell atlas of the peripheral immune response to severe COVID-19"
A-Hands-on-Workshop-series-in-Machine-Learning
awesome-ai-cancer
Awesome artificial intelligence in cancer diagnostics and oncology
bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
BayesMadeSimple
Code for a tutorial on Bayesian Statistics by Allen Downey.
BBMap
(Not Offical) BBMap short read aligner, and other bioinformatic tools.
Bioinformatics-with-Python-Cookbook-Second-Edition
Bioinformatics with Python Cookbook Second Edition, published by Packt
ChIP-Seq_PBS
ChIP-Seq analysis of PBS data
compositions
Detailed nutrient composition of 528 key foods in India.
Data-Science--Cheat-Sheet
Cheat Sheets
Nash0990's Repositories
Nash0990/2020_Wilk_COVID
Reproducibility repository accompanying Wilk, Rustagi, Zhao, et al. "A single-cell atlas of the peripheral immune response to severe COVID-19"
Nash0990/A-Hands-on-Workshop-series-in-Machine-Learning
Nash0990/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
Nash0990/BayesMadeSimple
Code for a tutorial on Bayesian Statistics by Allen Downey.
Nash0990/Bioinformatics-with-Python-Cookbook-Second-Edition
Bioinformatics with Python Cookbook Second Edition, published by Packt
Nash0990/compositions
Detailed nutrient composition of 528 key foods in India.
Nash0990/Data-Science--Cheat-Sheet
Cheat Sheets
Nash0990/data-science-from-scratch
code for Data Science From Scratch book
Nash0990/DataViz
Data Visualization With Matplotlib and Seaborn
Nash0990/deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Nash0990/DLTFpT
Deep Learning with TensorFlow, Keras, and PyTorch
Nash0990/Epidemiology101
Epidemic Modeling for Everyone
Nash0990/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Nash0990/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
Nash0990/ML-foundations
Machine Learning Foundations: Algebra, Calc, Stats & CS
Nash0990/ML-Webinar
Machine Learning with sklearn tutorials (for Pearson)
Nash0990/mpl_tutorial
Scipy 2019 Tutorial
Nash0990/phenomenet-vp
A phenotype-based tool for variant prioritization in WES and WGS data
Nash0990/practical-statistics-for-data-scientists
Code repository for O'Reilly book
Nash0990/Python_Zero2Hero_Course
Repository for Udemy course https://www.udemy.com/course/complete-python-bootcamp/
Nash0990/PythonCourse_Udemy_Giles
Nash0990/PythonFundamentalsLiveLessons
Example code for Our Python Fundamentals LiveLessons Videos
Nash0990/Rosalinda_Work
Repository with soulutions to Rosalinda Bioinformatic Problems
Nash0990/scikit-survival
Survival analysis built on top of scikit-learn
Nash0990/scipy-2019-intro-to-python
Introduction to Python Tutorial at SciPy 2019
Nash0990/scipy-2019-pandas
Pandas tutorial for SciPy 2019
Nash0990/scipy-lecture-notes
Tutorial material on the scientific Python ecosystem
Nash0990/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
Nash0990/training-requirements
Training requirements for joining projects
Nash0990/WhirlwindTourOfPython
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"