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advertisingattribution

A machine learning project to fit consumer's web-browsing and advertising impression data to a top-secret Hidden Markov Model

agile_data_code

Chapter-wise code for Agile Data the O'Reilly book

agiledata

Builds a data science work environment for Russell Jurney's book Agile Data Science.

ai_ml_workshops

AI_ML_Workshops

algorithm-book-volume1

farsi book on programming interviews by Hossein Siadati and Sima Jafarikhah

amazon-sagemaker-architecting-for-ml

Materials for a 3-day instructor led course on applying machine learning

amazon-sagemaker-custom-loss-function

This code shows how to train a model in Amazon SageMaker using a custom loss function for a binary classification problem in which the costs of different kinds of misclassification are very different.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

attribution

MapReduce job for creating multitouch attribution models.

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

aws-bigdata-specialty

aws-etl-orchestrator

A serverless architecture for orchestrating ETL jobs in arbitrarily-complex workflows using AWS Step Functions and AWS Lambda.

aws-rekognition-workshop-twitter-bot

This workshop walks you through creating a smart image cropping rekognition powered twitter bot.

aws-sam-cli

CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM

biostat-578

A repository for all of my teaching material

buildingmachinelearningsystemswithpython

Source Code for the book Building Machine Learning Systems with Python

cadl

Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causalml

Uplift modeling and causal inference with machine learning algorithms

cc-mrjob

Demonstration of using Python to process the Common Crawl dataset with the mrjob framework

chinese-nlp

Topic modeling for Chinese news articles using Chinese NLP techniques

cikm13_tutorial_rtb.github.io

CIKM '13 Tutorial: Real-time Bidding: A New Frontier of Computational Advertising Research

cnn-for-sentence-classification-in-keras

Convolutional Neural Networks for Sentence Classification in Keras

cnn-text-classification

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0

coding-challenges

My solutions to coding challenges.

compute-getting-started-python

This sample python application demonstrates how to access the Compute Engine API using the Google Python API Client Library.

computing-for-data-analysis

A learning diary of some basics for data analysis

computing_for_data_analysis_python

Homework solutions in python for Roger Peng's coursera course "Computing for Data Analysis"

coursera-machine-learning

Machine Learning course assignments