alexbernal0 Goto Github PK

alphalens

Performance analysis of predictive (alpha) stock factors

amibroker-formula-language-up-to-2008

amibroker formula language

article-resources

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

big-data-anlysis-course-work-

Classwork, Homework, and Project

bowtie

:bowtie: Create a dashboard with python!

breakouts

Repository for breakout sessions

complete-python-bootcamp

Lectures for Udemy - Complete Python Bootcamp Course

cookbook-code

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

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.

data1

datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

datasciencepython

common data analysis and machine learning tasks using python

datasharing

The Leek group guide to data sharing

dsdht

Rscripts for Data Science Course at dsdht.wikispaces.com

financemodelingprep

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

finmarketpy

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

gambit

Gambit

go

The Open Source Data Science Masters

hackermath

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

hgsql

HGSWL

introtowebdevelopment

This repository provides the examples and source materials used in the Intro To Web Dev course.

ipython-plotly

A collection of data science IPython notebooks with Plotly graphs

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

learndatascience

Open Content for self-directed learning in data science

ml-from-scratch

Bare bones Python implementations of some of the fundamental Machine Learning models and algorithms.

obsidian

Storage for all OBQ work

opstrat

Implementations of widely used options trading strategies, with a number of experimental features. Still under construction. To be converted to a library in the foreseeable future.

portfolio

Project Portfolio

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)