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Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Northwestern University PREDICT 410: Predictive Modeling I
Predicting a customer's next purchase using automated feature engineering
Predicting churn from telecom customer data
Price Wars - A Simulation Platform for Dynamic Pricing Competition
Simulation Framework for Dynamic Pricing Competitions
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Common solutions and tools developed by Google Cloud's Professional Services team
This is a data of Macbook Customers buying partner .We need to find the Propensity of Customers Buying a Macbook
Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"
PyCon SG 2016 - Customer Segmentation in Python
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Deep universal probabilistic programming with Python and PyTorch
Churn Prediction with PySpark using MLlib and ML Packages
The "Python Machine Learning (2nd edition)" book code repository and info resource
markov cluster algorithm - python
Supplemental materials for my OReilly project, the Python Data Science Handbook
📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seaborn, and Matplotlib.
cryptocurrency trading robot
Autonomous Raspberry Pi, Raspian, Python, piDrone
Real-Time Bidding by Reinforcement Learning in Display Advertising
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
recommendation system with python
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.