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convolutional-neural-stock-market-technical-analyser

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

cookbook-data

Datasets used in the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

coursera-compinvest1

Georgia Institute of Technology - Computational Investing by Tucker Balch

coursera-compinvesting1-hw

Homework for the "Coursera - Computational Investing 1" Course

coursera-course-statistics_one

Statistics One offered by Andrew Conwa of Princeton University on Coursera

coursera-data-sci

Solutions to the Introduction to Data Science Coursera course problems.

coursera-machine-learning

Coursera Machine Learning - Python code

crypto-signal

Automated crypto currency Technical Analysis (TA) with Bittrex API

crypto-trading-bot

Automated Bittrex crypto-currency technical analysis and trading tool

crypto_portfolio_analysis

A Jupyter notebook I use to analyze my crypto portfolio.

cs109_data

Datasets for CS109

cs760-hws

All the homework assignments for CS760 - Machine learning course. http://www.biostat.wisc.edu/~craven/cs760/hw.html

d3talk

baby steps in d3.js

data-science-portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

data-structures-q3

Product College course on Advanced Data Structures & Algorithms with Python

data_analysis

data_hacks

Command line utilities for data analysis

dataanalysis

Coursera data analysis course, done in Python

ddd-example

Domain Driven Design. Examples focuses on key concept of ddd like Entities, Aggregate root, Repository, Value Objects & ACL.

ddd-starter-modelling-process

If you're new to DDD and not sure where to start, this process will guide you step-by-step

demopod

Demo Notebooks

discrete-optimization-001

Coursera Discrete Optimization course programming assignments source code

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

dotfiles

:wrench: .files, including ~/.macos — sensible hacker defaults for macOS

economist-style-chart-in-r

Contains csv and R files for reproducing.

epredict

examples-in-latex

Some simple examples in latex: books, articles, homework, talks (beamer), and an example for Makefile.

fin-dev

Java code base focused on implementing financial calculations.

financial-analysis-using-python

Cookbook of iPython Notebook Recipes

financial-data-structures

Create structured financial data in the form of time, tick, volume, and dollar bars from unstructured tick data. From Marcos Lopez de Prado's Advances in Financial Machine Learning textbook.