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538 Election Forecasting Model
Introduction to Python for Data Science for PyCon 2018
DePy 2015 Talk
Tutorial Created for SciPy 2012
Introduction to Python for Data Science
A `select` accessor for easier subsetting of pandas DataFrames and Series
Repositories
57538 Election Forecasting Model
Introduction to Python for Data Science for PyCon 2018
Vim environment
No description provided.
A `select` accessor for easier subsetting of pandas DataFrames and Series
DePy 2015 Talk
common config files
Statsmodels: statistical modeling and econometrics in Python
My home page
Introduction to Python for Data Science
Dask tutorial for PyData Chicago 2016
NumPy-based labeled data structures and statistics library
eXtreme Gradient Boosting (GBDT or GBRT) Library for large-scale (distributed) machine learning
Tutorial Created for SciPy 2012
SQL GUI for JupyterLab
Survival analysis in Python
A SQLAlchemy dialect for Teradata
Dask tutorial for PyData DC 2016
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
.emacs.d directory for a vim user
These are the IPython notebook files for the CSC 432 Spring '13 course.
Bayesian inference in Python
Jupyter Server
Media backup utilities
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
Introduction to Statsmodels Talk for Statistical Programming DC Meetup
JupyterLab computational environment.
Jupyter magics and kernels for working with remote Spark clusters
Introduction to Python for Data Science for ODSC East 2018
Containerize all the things