mdiby Goto Github PK

personalizedmultitasklearning

Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).

pgportfolio

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).

practical-machine-learning-with-python

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.

predict410

Northwestern University PREDICT 410: Predictive Modeling I

predict_next_purchase

Predicting a customer's next purchase using automated feature engineering

predicting-clinical-events-via-recurrent-neural-networks

predictingchurn

Predicting churn from telecom customer data

pricewars

Price Wars - A Simulation Platform for Dynamic Pricing Competition

pricing_competition_simulation

Simulation Framework for Dynamic Pricing Competitions

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

product-based-neural-networks-for-user-response-prediction

professional-services

Common solutions and tools developed by Google Cloud's Professional Services team

propensity-of-customers-buying

This is a data of Macbook Customers buying partner .We need to find the Propensity of Customers Buying a Macbook

pycon-2017-eda-tutorial

Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"

pycon_sg_2016

PyCon SG 2016 - Customer Segmentation in Python

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

pyro

Deep universal probabilistic programming with Python and PyTorch

pyspark-churn-prediction

Churn Prediction with PySpark using MLlib and ML Packages

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python_mcl

markov cluster algorithm - python

pythondatasciencehandbook

Supplemental materials for my OReilly project, the Python Data Science Handbook

pythonplot.com

📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seaborn, and Matplotlib.

pytrader

cryptocurrency trading robot

quadcopter

Autonomous Raspberry Pi, Raspian, Python, piDrone

real-time-bidding-reinforcement-learning

Real-Time Bidding by Reinforcement Learning in Display Advertising

reco-gym

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

recommend

recommendation system with python

recommender_live

recommendersystems_pydata_2016