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Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)
Visualizer for pandas data structures
Common financial risk and performance metrics. Used by zipline and pyfolio.
SDK for the EOD Historical data API
Official EODHD APIs Python Library
Forthcoming website on sustainable investing
Live face Mask detection using Keras and OpenCv
The fastai book, published as Jupyter Notebooks
Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow
A brief description on how to use Financial Modeling Prep Api
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥
FinRL-Meta: A Universe for Data-Driven Financial Reinforcement Learning. 🔥
Trained an automated stock trading model with companies' fundamental data using FinRL, a Deep Reinforcement Learning library developed by AI4Finance.
Stat 479 Project
Full Python interface to Federal Reserve Economic Data (FRED)
Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 20.000+ companies.
Grokking Deep Reinforcement Learning
Create curved text paths in ggplot2
In this repository, I will try to build a machine learning model that can predict the return in Gold over short term windows using historical returns on other traded commodities and financial instruments.
this repository accompanies the book "Grokking Deep Learning"
Solution of the given task of predicting the buying and selling volume of the corporate bonds.
Materials for following along with Hands-On Data Analysis with Pandas.
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Hands-On Predictive Analytics with Python, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Website_backtest_example
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.