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advanced-machine-learning-with-python

Code repository for Advanced Machine Learning with Python, published by Packt

amazonaccess

Amazon Employee Access Challenge

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

courses

fast.ai Courses

cp255-materials

Course materials, IPython notebooks, tutorials, and guides for CP255 Urban Informatics and Visualization at UC Berkeley

crosscat

A domain-general, Bayesian method for analyzing high-dimensional data tables

cs224d-hw1

data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

datatalks

Public Machine Learning and Data Competition Repo

dataweek-workshop

Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.

deep-learning-101

Deep Learning Tutorials

deep-summarization

Uses Recurrent Neural Network (LSTM/GRU/basic_RNN units) for summarization of amazon reviews

dl

ds-for-wall-street

Source code to accompany "Data Science for Wall Street" tutorial at Hadoop World NYC 2015

europython2016_dl-nlp

Introduction to Deep Learning for Natural Language Processing

gpy

Gaussian processes framework in python

h2o-world-2015-training

Tutorials and training material

hinton-coursera

Repo for working through Geoffrey Hinton's Neural Network course (https://class.coursera.org/neuralnets-2012-001)

icu_rnn

Public repository for multilabel classification of medical diagnoses with LSTM RNNs

kaggle

Additional files for the Otto Group Challenge hosted by Kaggle

kaggle-bike-sharing-demand

kaggle_tfi

TFI competition on Kaggle

libertymutual

loom

A streaming cross-cat inference engine

naive-bayes

First assignment for Data Mining. Implement Naive Bayes, preprocess data using entropy-based discretization, and validate with 10-fold cross validation.

notes-on-dirichlet-processes

:game_die: IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

pandas_tutorial

Pandas tutorial for SciPy2015 conference

pyclustering

pyclustring is a python data mining library.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource