tawandavera Goto Github PK
Name: Tawanda Vera
Type: User
Location: Namibia
Name: Tawanda Vera
Type: User
Location: Namibia
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
ARCH models in Python
https://cn.udacity.com/mlnd/
Used Python to complete the assignments for the coursera course "Computational Investing"
This is a collection of COVID-19 policy response trackers and data.
Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data
The Leek group guide to data sharing
The fastai deep learning library, plus lessons and and tutorials
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.
Financial Engineering and Risk Management Course, 2013
A robot powered training repository :robot:
this repository accompanies my forthcoming book "Grokking Deep Learning"
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
With Holoviews, your data visualizes itself
Code for the Kaggle Ensembling Guide Article on MLWave
Short Course - Applied Machine Learning for Risk Management
Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning
Download intraday and historical data from the norwegian broker Netfonds ASA
School Projects 2017 - 2019
Financial markets analysis framework for programmers
Portfolio and risk analytics in Python
How to solve visualization problems with Python tools.
PyWavelets - Wavelet Transforms in Python
Download and parse credit rating history files that US rating agencies generate each month in accordance with SEC Rule 17g-7
Python Implementation of Reinforcement Learning: An Introduction
Quantitative research and educational materials
Machine Learning algorithms implemented from scratch
Jupyter notebooks on time series econometrics topics.
Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.