findingbenjamin's repositories
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going).
Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, Spark, Hadoop MapReduce, HDFS, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
git_practice
A git practice through codeacademy
models
Models and examples built with TensorFlow
ModernDive_book
Statistical Inference via Data Science: A ModernDive into R and the tidyverse
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
pytextrank
Python implementation of TextRank for text document NLP parsing and summarization
pytudes
Python programs to practice or demonstrate skills.
science-parse
Science Parse parses scientific papers (in PDF form) and returns them in structured form.
scikit-learn
scikit-learn: machine learning in Python
scikit-learn-classifiers
An introduction to implementing a number of scikit-learn classifiers, along with some data exploration
shablona
A template for small scientific python projects
spaCy
đź’« Industrial-strength Natural Language Processing (NLP) with Python and Cython
Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath