joddm's repositories
amazonaccess
Amazon Employee Access Challenge
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.
Erlemar.github.io
Data science portfolio
example_dataproc_twitter
This repository is used as source code for the medium post about implementing a Twitter recommender system using GCP.
inDelphi-app
Heroku/Dash app for inDelphi.
interactive-coding-challenges
Huge update! Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Kaggle-Ensemble-Guide
Code for the Kaggle Ensembling Guide Article on MLWave
kaggle-talkingdata-visualization
Source code for blog post: Interactive Data Visualization of Geospatial Data using D3.js, DC.js, Leaflet.js and Python
kaggle_pbr
My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.
MachineLearningStocks
Using python and scikit-learn to make stock predictions
ML-From-Scratch
Bare bones Python implementations of Machine Learning models and algorithms. Aims to cover everything from Data Mining techniques to Deep Learning.
pandas-exercises
Walkthrough exercises from PandasTutorial by Wes McKinney.
pycon-pandas-tutorial
PyCon 2015 Pandas tutorial materials
pydata-gbrt-tutorial
IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"
research_public
Quantitative research and educational materials
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)
Santander-Product-Recommendation
2nd Place Solution of the Kaggle Competition - Santander Product Recommendation
uit-thesis
LaTeX document class for writing theses