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joddm's Projects

bdc icon bdc

Code used to generate my submission for the Big Data Combine Kaggle Competition

dagmm icon dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

data-science-ipython-notebooks icon data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

example_dataproc_twitter icon example_dataproc_twitter

This repository is used as source code for the medium post about implementing a Twitter recommender system using GCP.

kaggle_pbr icon kaggle_pbr

My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.

ml-from-scratch icon ml-from-scratch

Bare bones Python implementations of Machine Learning models and algorithms. Aims to cover everything from Data Mining techniques to Deep Learning.

pydata-gbrt-tutorial icon pydata-gbrt-tutorial

IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"

rainbow icon rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

rl-portfolio-management icon rl-portfolio-management

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

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