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A machine learning project to fit consumer's web-browsing and advertising impression data to a top-secret Hidden Markov Model
Chapter-wise code for Agile Data the O'Reilly book
Builds a data science work environment for Russell Jurney's book Agile Data Science.
AI_ML_Workshops
farsi book on programming interviews by Hossein Siadati and Sima Jafarikhah
Materials for a 3-day instructor led course on applying machine learning
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.
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
MapReduce job for creating multitouch attribution models.
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Quant/Algorithm trading resources with an emphasis on Machine Learning
A serverless architecture for orchestrating ETL jobs in arbitrarily-complex workflows using AWS Step Functions and AWS Lambda.
This workshop walks you through creating a smart image cropping rekognition powered twitter bot.
CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
A repository for all of my teaching material
Source Code for the book Building Machine Learning Systems with Python
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Uplift modeling and causal inference with machine learning algorithms
Demonstration of using Python to process the Common Crawl dataset with the mrjob framework
Topic modeling for Chinese news articles using Chinese NLP techniques
CIKM '13 Tutorial: Real-time Bidding: A New Frontier of Computational Advertising Research
Convolutional Neural Networks for Sentence Classification in Keras
Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
My solutions to coding challenges.
This sample python application demonstrates how to access the Compute Engine API using the Google Python API Client Library.
A learning diary of some basics for data analysis
Homework solutions in python for Roger Peng's coursera course "Computing for Data Analysis"
Machine Learning course assignments
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.