Pinned Repositories
AnatomyOfMatplotlib
Anatomy of Matplotlib Tutorial originally developed for SciPy 2013
Awesome-CV
Awesome CV is LaTeX template for your outstanding job application
basemap
bqplot
Plotting library for IPython/Jupyter Notebooks
Collaborative-Filtering
Implemented Item, User and Hybrid based Collaborative Filtering
EpilepsyPrediction
Predict epilepsy status using machine learning models; handled class imbalance by subsampling and tuning class weights
find-my-dress
flask-pycon2015
Code for my PyCon 2015 tutorial "Flask Workshop"
flaskapp
XiaonanD's Repositories
XiaonanD/Awesome-CV
Awesome CV is LaTeX template for your outstanding job application
XiaonanD/basemap
XiaonanD/bqplot
Plotting library for IPython/Jupyter Notebooks
XiaonanD/Collaborative-Filtering
Implemented Item, User and Hybrid based Collaborative Filtering
XiaonanD/EpilepsyPrediction
Predict epilepsy status using machine learning models; handled class imbalance by subsampling and tuning class weights
XiaonanD/find-my-dress
XiaonanD/flaskapp
XiaonanD/GameRecommendation
XiaonanD/github-tutorial
XiaonanD/good_examples
XiaonanD/good_visualization
XiaonanD/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
XiaonanD/jupyter-tips-and-tricks
Using the Jupyter notebook for data science.
XiaonanD/kafka
Mirror of Apache Kafka
XiaonanD/kaggle_animal_shelter
kaggle competitons
XiaonanD/lifelines
Survival analysis in Python
XiaonanD/millhouse-manastorm
XiaonanD/my_templates
XiaonanD/notebook_template
XiaonanD/parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
XiaonanD/pycon_sg_2016
PyCon SG 2016 - Customer Segmentation in Python
XiaonanD/pydata-seattle-2017
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
XiaonanD/Python_Tutorials
Python tutorials in both Jupyter Notebook and youtube format.
XiaonanD/RecommenderSystems_PyData_2016
XiaonanD/rjmetrics_blog_posts
XiaonanD/scikit-plot
An intuitive library to add plotting functionality to scikit-learn objects.
XiaonanD/skimage-tutorials
Scikit-image tutorials
XiaonanD/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
XiaonanD/TimeSeriesAnalysisWithPython
XiaonanD/TwitterUSAirlineSentiment
Code to experiment with text mining techniques for sentiment analysis in data set is from Kaggle.