Coursera-Stanford-ML-Python
github.comCoursera/Stanford Machine Learning course assignments in python
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DUCKQUANT / THE QUANT & AI DIRECTORY
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Coursera/Stanford Machine Learning course assignments in python
Public repository by fionawhitefield. Primary language: Jupyter Notebook.
Notebook from presentation at Python for Finance Meetup
Public repository by sankhaMukherjee. Primary language: Python.
Public repository by RobinsonGarcia. Primary language: Jupyter Notebook.
Kiva is inviting the Kaggle community to help them build more localized models to estimate the poverty levels of residents in the regions where…
1 Introduction As human beings we are usually first exposed to the gift economy of our families and tight knit communities: goods and services…
We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cost portfolio…
Our project consists of constructing a comprehensive dataset that contains detailed information about maritime routes used for seaborne trade. We build a…
Cleaned data for use in stock predicting algorithms
As a rule, mining alludes to the birth of minerals and land accoutrements from the earth, from a gravestone or seal. moment different factors…
Valuation of Callable Bonds with short rate Hull-White model using: binomial trees, PDE with Green functions etc.
Binomial tree for American call
Part of FinRL and provided code for paper focuses on ensemble
Detecting critical transitions in financial networks with topological data analysis
Predicting the buying and selling volume of the corporate bonds
Cornell University is a private research university that provides an exceptional education for undergraduates and graduate and professional students. Cornell
Applied Computational Economics and Finance
Federal Reserve Data, Federal Reserve Bulletin, Long-term Interest Rates, Inflation, BEA, FRED, FED,
Utility functions in fixed income securities
Behavioural Economics and Finance Python Notebooks
Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs
Basic investment tools in python
Source code notebooks basic finance applications
cornerstone project repo for Udacity nanodegree program and focus on trading using deep q learning. Good explanation on design choices in the report
merged into FinRL library and uses and implementation of DQN
Notebooks for math and financial tutorials
NYU Math-GA 2048: Scientific Computing in Finance
Predicting market crashes using an LPPL model
accompanying materials for slide covering more tradition quant trading topics like pair trading/kalman filter/trend following etc. Referecing interesting paper
code repo for video series. Contains notebooks and deep dive using
This is the first in a series of articles dealing with machine learning in asset management. Asset management can be broken into the following…
This is the second in a series of articles dealing with machine learning in asset management. This article focuses on portfolio weighting using machine…
Hands-on Python for Finance published by Packt
Research in investment finance for long term forecasts and a curated list of notebooks. Each topic contains a youtube video explaining in details. Interesting…
generate streamable data using mapr converged data platfrom built mostly in java. Uses apache for web visualization