XiaonanD

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

notebook_template

good_visualization

good_examples

scikit-plot

An intuitive library to add plotting functionality to scikit-learn objects.

lifelines

Survival analysis in Python

bqplot

Plotting library for IPython/Jupyter Notebooks

TwitterUSAirlineSentiment

Code to experiment with text mining techniques for sentiment analysis in data set is from Kaggle.

Python_Tutorials

Python tutorials in both Jupyter Notebook and youtube format.

basemap

my_templates

pydata-seattle-2017

Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle

flaskapp

jupyter-tips-and-tricks

Using the Jupyter notebook for data science.

Awesome-CV

Awesome CV is LaTeX template for your outstanding job application

github-tutorial

skimage-tutorials

Scikit-image tutorials

EpilepsyPrediction

Predict epilepsy status using machine learning models; handled class imbalance by subsampling and tuning class weights

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

TimeSeriesAnalysisWithPython

find-my-dress

RecommenderSystems_PyData_2016

GameRecommendation

kaggle_animal_shelter

kaggle competitons

millhouse-manastorm

kafka

Mirror of Apache Kafka

pycon_sg_2016

PyCon SG 2016 - Customer Segmentation in Python

rjmetrics_blog_posts

parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

Collaborative-Filtering

Implemented Item, User and Hybrid based Collaborative Filtering