寒小阳's repositories
Kaggle_Titanic
the data and ipython notebook of my attempt to solve the kaggle titanic problem
pyspark-recommendation-demo
movie recommendation demo using collaborative filtering and lfm(spark mllib ALS)
ML-examples
some machine learning examples
image_retrieval
Image retrieval system demo based on caffe and lsh
naive_bayes
the code corresponding to my csdn blog naive bayes series
Feature_Engineering_and_XGBoost_Parameter_Tuning
Examples of how to do feature engineering and Xgboost parameter tuning
Interview-Notebook
:memo: for 应届小盆友准备秋招
pyLightGBM
Python binding for Microsoft LightGBM
Pandas_data_analysis_guide_examples
Pandas data analysis guide examples
SVM-ipython-tutorial
ipython notebook examples for SVM
python-and-numpy-tutorial
a simple numpy tutorial ipython notebook with comments in Chinese
Feature-engineering
feature engineering example for Kaggle bicycle competition
Neural-Network-Example
a simple neural network example : data non-linear classification and how different hidden layer num affect result
recommendation_example
user based collaborative filtering and matrix factorization for reccomendation system example
Deep_Learning_Assignment
Deep Learning Assignment example codes
Data-Analysis-and-Modeling-Example
Data Analysis and Modeling Ipython Notebook Examples
Kaggle-Bicycle-Example
data cleaning, feature engineering, data modeling and data analysis example on the Kaggle Bicycle competition
free-programming-books
:books: Freely available programming books
jupyter-themes
Custom Jupyter Notebook Themes
Math-of-Machine-Learning-Course-by-Siraj
Implements common machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
caffe
Caffe: a fast open framework for deep learning.
County_Level_Election_Results_12-16
US president county-level election results for 2012 and 2016
ELMoForManyLangs
Pre-trained ELMo Representations for Many Languages
Recipes
Lasagne recipes: examples, IPython notebooks, ...