haoybl's repositories
python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
Pred_Models_git
Materials for BIA6303 Predictive Models
ggpy
ggplot port for python
webstep-sklearn-quickstart
Scikit-learn quickstart tutorial for Webstep
statsmodels
Statsmodels: statistical modeling and econometrics in Python
scikit-learn
scikit-learn: machine learning in Python
BayesDataAnalysisWithPyMC
Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
scikit-cribsheet
Notes from scikit-learn - a Python-based machine learning library.
DSR_minicompetition
Predicting success of Melbourne university grant applications was appeared as a competition in Kaggle. The dataset is very interesting, given the large sparseness of data. Something a data scientist might have fun working with.
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.
pgmpy_notebook
Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy
LAK_2017_Workshop
Content for workshop at 2017 Learning Analytics and Knowledge (LAK) Conference in Vancouver
pastalog
Simple, realtime visualization of neural network training performance.
db_platform
基于inception和django的数据库web管理平台
dobson
Python solutions to the code examples in Dobson AJ & Barnett AG: "An Introduction to Generalized Linear Models (3rd ed)
xgboost
https://github.com/dmlc/xgboost
Rdatasets
An archive of datasets distributed with R
Coursera-Machine-Learning
Coursera Machine Learning - Python code
AdvPredictiveModeling_withPython
Jupyter Notebooks for Adv. Predictive Modeling Course
libpgm
A library for creating and using probabilistic graphical models
sklearn-theano
Scikit-learn compatible tools using theano
dmpa
Data Mining and Predictive Analytics : Daniel T Larose & Chantal D Larose Wiley
tdigest
t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark
DSR_Mini_Competition
Mini competition based on Kaggle research grants datasets
Bayesian-Analysis-with-Python
Bayesian Analysis with Python by Packt
Data-Analysis
Foot-steps followed to accomplish Data Science capabilities
daft
Render some probabilistic graphical models using matplotlib
pythonanywhere
My python code collection in Pythonanwhere