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machine_learning_trading

machinelearning

Machine Learning in Action（机器学习实战-笔记）

machinelearning-1

Basic Machine Learning and Deep Learning

machinelearningstocks

Using python and scikit-learn to make stock predictions

mathandsciencenotes

Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc

mdf-2018

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

mlpb

Machine Learning Problem Bible | Problem Set Here >>

mlr

mlr: Machine Learning in R

mlwr

Machine Learning with R

mosquito

Trading Bot with focus on Evolutionary Algorithms and Machine Learning

nlp-tutorial

Tutorial: Natural Language Processing in Python

predection_mortalite_mimiciii

L’apprentissage profond surMIMIC-III :Prédiction de la mortalité sous 24 H

python

All Algorithms implemented in Python

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-scraping

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

rl-quadcopter

Teach a Quadcopter How to Fly!

rl-ressources-tutos-2018

Ressources, tutos, code, papers on Reinforcement Learning / Deep Reinforcement Learning

s4ds

Code samples for Scala for data science

scala

All Algorithms implemented in Scala

selenium-fb-group-poster

A Selenium Script to post an image with text on the Facebook Groups you are member.

self-driving-car-nd-proj01-lane-finding

Self-Driving Car Nanodegree Project01 Lane Finding, This repository lists some AI machine learning related projects for autonomous driving technologies.

self-driving-car-nd-proj04-advanced-lane-finding

Self-Driving Car Nanodegree Project04 Advanced lane finding, This repository lists some AI machine learning related projects for autonomous driving technologies.

smile

Statistical Machine Intelligence & Learning Engine

spark-r-notebooks

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

timeseriesoncryptocurrency

The case is financial time-series prediction with cryptocurrencies and it integrates knowledge from various sources - Crypto Currencies, Quantitative Finance, and Machine learning. The data consists of time-series of various cryptocurrencies with open, high, low, close prices and volumes from different crypto exchanges, but it could also be enriched during the Datathon by the teams. The goal is to build a successful investing/trading model on the cryptocurrency markets.

tp_python

TP M1

user-machine-learning-tutorial

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html