Charles Carriere's Projects
Course materials and handouts for #100DaysOfCode in Python course
An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
yeah. dat's me.
PyBites Code Challenges
Essential Cheat Sheets for deep learning and machine learning researchers
Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.
Ethereum miner with CUDA and stratum support
things to do in crypto
General Assembly's Data Science course in Washington, DC
Various Dockerfiles
fire_starter video library in elixir from CodeSchool tutorial
stuff with go
Simple backtesting for sleepless cryptocurrency markets
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
files from headfirst python
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
demo project from elixir textbook
all my code for learning javascript
Cheatsheet for the JavaScript knowledge you will frequently encounter in modern projects.
The fundamental package for scientific computing with Python.
A pre-compiled binary of OpenCV 3.1.0 for the Raspberry Pi.
the place where we figure out how to beat the market and such things