Nick Iannotti's repositories
Azure-TDSP-ProjectTemplate
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
coal-exploration
A first look at the coal data
cookiecutter
A command-line utility that creates projects from cookiecutters (project templates). E.g. Python package projects, jQuery plugin projects.
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Coursera-Bioconductor-for-Genomic-Data-Science
R scripts from Coursera: Bioconductor for Genomic Data Science
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
django-devserver
A drop-in replacement for Django's runserver.
django-model-utils
Django model mixins and utilities.
dlaicourse
Notebooks for learning deep learning
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Jupyter-for-Data-Science
Code repository for Jupyter for Data Science, published by Packt
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
MyFirstVSDjangoProject
My first time using Django in Visual Studio
operating-system
:beginner: Home Assistant Operating System
pandas-cookbook
Recipes for using Python's pandas library
ProjectTemplate
A template utility for R projects that provides a skeletal project.
readthedocs
Documentation for the Google Genomics cookbook.
real-python-test
Real Python Test!
rprojecttemplate
Trying out the R package projecttemplate
Web-Application-Development-with-R-Using-Shiny
R Scripts and notes from reading "Web Application Development with R Using Shiny"
winerama-recommender-tutorial
A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.