Pinned Repositories
A_Road_to_Data_Science
This is based on my experience of how to prepare data science interviews.
Amazon_Review_Sentiment_Analysis
Flask Webapp Using Machine Learning
Deep-Learning
Resources of deep learning courses by Andrew Ng
Double-Fusion
A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder
Machine-Learning-Coursera
Resources of Machine Learning, Andrew Ng
NYC_airport_market_share
Data challenge of NYC taxi
PySpark-Machine-Learning
A collection of machine learning examples using PySpark
python-for-data-analysis
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Rui_Python_Leetcode
Python code for Leetcode
SQL_Resources
A summary of SQL exercises
wangruinju's Repositories
wangruinju/Deep-Learning
Resources of deep learning courses by Andrew Ng
wangruinju/SQL_Resources
A summary of SQL exercises
wangruinju/Double-Fusion
A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder
wangruinju/PySpark-Machine-Learning
A collection of machine learning examples using PySpark
wangruinju/A_Road_to_Data_Science
This is based on my experience of how to prepare data science interviews.
wangruinju/Amazon_Review_Sentiment_Analysis
Flask Webapp Using Machine Learning
wangruinju/NYC_airport_market_share
Data challenge of NYC taxi
wangruinju/Advanced_Statistical_Computing
Homework for Advanced Statistical Computing
wangruinju/adventures-in-ml-code
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
wangruinju/bert
TensorFlow code and pre-trained models for BERT
wangruinju/Bios8366
Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics
wangruinju/DomainAdaptedWordEmbeddings
wangruinju/ERNIE
An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)
wangruinju/google-research
Google Research
wangruinju/GraphNeuralNetwork
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
wangruinju/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
wangruinju/Kaggle-Project
Kaggle Competition
wangruinju/learning-apache-spark
This repository contains apache spark tutorials implemented with pypsark. For some machine learning methods, there will be comparisons between pyspark and R results.
wangruinju/Learning_Material
wangruinju/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
wangruinju/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
wangruinju/nlp_spark
Natural Language Processing with Spark's MLlib
wangruinju/NREPapers
Must-read papers on neural relation extraction (NRE)
wangruinju/pytopicrank
Keyphrase extraction (TopicRank)
wangruinju/rtrouton_scripts
Scripts to share
wangruinju/Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
wangruinju/tensorflow-tutorial
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
wangruinju/wangruinju.github.io
My personal blog: http://rui-wang.com. This is based on a free and open-source Jekyll theme, which is great for blogs and easy to customize.
wangruinju/xaringan
Presentation Ninja 幻灯忍者 · 写轮眼
wangruinju/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow