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amplpy

Python API for AMPL

codes_for_articles

cvxportfolio

Portfolio optimization and back-testing.

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

dsbook

Repository for data science book

dynamic_asset_allocation

Portfolio Optimization (CPLEX & IPOPT), Rebalancing

explainable-rnn

Research on explainability methods for RNN archetectures

gaih-students-repo-example

globalai

introduction-to-machine-learning

introduction-to-python

lstm-crypto-price-prediction

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

machine-learning-books-with-python

Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python

markowitz-portfolio-optimisation-genetic-algorithm

In this notebook I apply the genetic algorithm to optimize the fitness function (sharpe ratio) of a portfolio. And explore a little bit with dynamic portfolio allocation

master_thesis_portfolio_optimization_with_bayesian_nns

Framework for the dynamic optimization of financial portfolio that employs the neural network with stochastic weights and Bayesian inference

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

paswr2e-rscripts

R scripts for Probability and Statistics with R, Second Edition

portfolio-optimization

A python application, that demonstrates optimizing a portfolio using machine learning.

portfolio_optimization_using_pyportfolioopt_package

Portfolio optimization : Markowitz's mean-variance optimization technique using Pyportfolioopt package.

portfoliooptimization

Material accompanying the MOSEK Portfolio Optimization Cookbook

pypy

python-elm

Extreme Learning Machine implementation in Python

python-machine-learning-second-edition

Python Machine Learning - Second Edition, published by Packt

pythonfinance-portfoliooptimization

Python for Portfolio Optimization: The Ascent! First working lessons to ascend the hillimization in seven strides (Lessons), beginning with the fundamentals (Lesson 1) and climbing slope after slope (Lessons 2-6), to reach the first peak of constrained portfolio optimization models (Lesson 7), amongst a range of peaks waiting beyond!

pyton_project

r-stock-portfolio-optimization

Efficiently gathering data from stocks to be used in optimizing a portfolio. The data is sent to AMPL, optimized there, and sent back to R to analyze/visualize the results

riskfolio-lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

stock-prediction

stock-prediction-portfolio-optimization

A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models on multiple stocks to generate Buy/Sell signals. This is a WIP and I will keep on adding new ideas to this in future.