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a_road_to_data_science

This is based on my experience of how to prepare data science interviews.

advanced_statistical_computing

Homework for Advanced Statistical Computing

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

amazon_review_sentiment_analysis

Flask Webapp Using Machine Learning

bert

TensorFlow code and pre-trained models for BERT

bios8366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

deep-learning

Resources of deep learning courses by Andrew Ng

domainadaptedwordembeddings

double-fusion

A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder

ernie

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

google-research

Google Research

graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

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.

intro_to_r_programming

Intro to R Programming

kaggle-project

Kaggle Competition

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.

learning_material

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.

machine-learning-coursera

Resources of Machine Learning, Andrew Ng

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

nlp_spark

Natural Language Processing with Spark's MLlib

nrepapers

Must-read papers on neural relation extraction (NRE)

nyc_airport_market_share

Data challenge of NYC taxi

practical-machine-learning-coursera

Intro to machine learning using Caret in R

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

pytopicrank

Keyphrase extraction (TopicRank)

rtrouton_scripts

Scripts to share

rui_python_leetcode

Python code for Leetcode

sql_resources

A summary of SQL exercises