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sql_vs_r_vs_python

write the Python Pandas expression or R to produce a table as SQL

sta380

STA 380: Predictive Modeling

statisticalrethinkingpythonwithpymc

A selection of examples and exercises from R. McElreath's Statistical Rethinking book on Bayesian data analysis.

stats-dvb

Notes and Exercises for 'Stats - Data and Models' (De Veaux, Velleman, Bock)

statsintro_python

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

statsmodels

Statsmodels: statistical modeling and econometrics in Python

subsample

Randomly sample lines from a csv, tsv, or other line-based data file

tdigest

t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark

tensorflow

Computation using data flow graphs for scalable machine learning

the-ultimate-survival-guide-to-operating-restaurants-

This is my third project at Metis. I developed a classification model to predict if a restaurant is closed using Yelp data. Applied various data munging techniques and an ensemble classifier of logistic regression (L1), SVM, and KNN, driving 14% improvement in accuracy from the dummy classifier.

theano

Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python

theano_exercises

Exercises for my tutorials on Theano

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

tuning_decision_tree

hyperparameter optimization for decision tree model in python

tuning_support-vector-machine

demonstrated how important of data normalization in SVM, compared different kernel methods, optimized parameters with grid search

web_scraping_with_python

webstep-sklearn-quickstart

Scikit-learn quickstart tutorial for Webstep

winerama-recommender-tutorial

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

word_count

xgboost

https://github.com/dmlc/xgboost