joe-cipolla Goto Github PK

labs

Rmd source files for the HarvardX series PH525x

learn-pandas

Tutorials on how to use pandas effectively to do data analysis

learning_to_adapt

Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning

lstm-load-forecasting

Electricity load forecasting with LSTM (Recurrent Neural Network)

machine-learning

Content for Udacity's Machine Learning curriculum

master

data science portfolio

montecarlo

python implementation of monte carlo stochastic simulation

moonshot_rl

landing a lunar module on the moon using Reinforcement Learning

moonshot_rl2

landing a lunar module using RL control and deep learning function approximation

naivecnn

A naive (very simple!) implementation of a convolutional neural network

naivecnn-master

nn_semi_gradient_td

random walk policy evaluation using semi-gradient TD with a simple Neural Network

p490

pandas-ply

functional data manipulation for pandas

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

ptap

ISO market data collection, storage and analytics

py-earth

A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines

pysheeet

Python Cheat Sheet

python-guide

Python best practices guidebook, written for Humans.

python-patterns

A collection of design patterns/idioms in Python

q-trader

Deep Q-learning driven stock trader bot

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

resume

Software developer resume in Latex

rl-stocktrading

scraxbrl

SEC Edgar Scraper and XBRL Parser/Renderer

simple-neural-network

A simple Python script showing how the backpropagation algorithm works.

skewedtotheleft-explanation

statistics skewness explanation with code

swirl_courses

A collection of interactive courses for the swirl R package.

synthetic_gradients_explained

This is the code for "Synthetic Gradients Explained" by Siraj Raval on Youtube

td_with_state_aggregation