Nahush BN's 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"

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bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

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BayesMadeSimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

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Bioinformatics-with-Python-Cookbook-Second-Edition

Bioinformatics with Python Cookbook Second Edition, published by Packt

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compositions

Detailed nutrient composition of 528 key foods in India.

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data-science-from-scratch

code for Data Science From Scratch book

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DataViz

Data Visualization With Matplotlib and Seaborn

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deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

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DLTFpT

Deep Learning with TensorFlow, Keras, and PyTorch

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Epidemiology101

Epidemic Modeling for Everyone

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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.

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introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

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ML-foundations

Machine Learning Foundations: Algebra, Calc, Stats & CS

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ML-Webinar

Machine Learning with sklearn tutorials (for Pearson)

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mpl_tutorial

Scipy 2019 Tutorial

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phenomenet-vp

A phenotype-based tool for variant prioritization in WES and WGS data

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practical-statistics-for-data-scientists

Code repository for O'Reilly book

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Python_Zero2Hero_Course

Repository for Udemy course https://www.udemy.com/course/complete-python-bootcamp/

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PythonFundamentalsLiveLessons

Example code for Our Python Fundamentals LiveLessons Videos

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Rosalinda_Work

Repository with soulutions to Rosalinda Bioinformatic Problems

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scikit-survival

Survival analysis built on top of scikit-learn

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scipy-2019-intro-to-python

Introduction to Python Tutorial at SciPy 2019

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scipy-2019-pandas

Pandas tutorial for SciPy 2019

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scipy-lecture-notes

Tutorial material on the scientific Python ecosystem

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ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

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training-requirements

Training requirements for joining projects

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WhirlwindTourOfPython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

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