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Tableau Dashboard analysis of Feeld dating app demographics + preprocessing Jupyter Notebook
This repository contains notebooks related to processing, analysis, and machine learning applied to the speed-dating dataset
This notebook analyses speed dating data.
SpeedDating Dataset Prediction Model on Google Colab (Jupyter Notebook).
Topic modeling of relationships / dating oriented subreddits in the 2010's, across normative and non-normative relationship structures.
Whether a first date will lead to a relationship
Open source software that helps you create and deploy high-frequency crypto trading bots
Distributed Asynchronous Hyperparameter Optimization in Python
Collection of algorithms for online portfolio selection
Portfolio optimization and back-testing.
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Hands-On Machine Learning for Algorithmic Trading, published by Packt
🔎 📈 🐍 💰 Backtest trading strategies in Python.
QuantStart.com - QSTrader backtesting simulation engine.
Typer, build great CLIs. Easy to code. Based on Python type hints.
Write scalable load tests in plain Python 🚗💨
Hyper-parameter optimization for sklearn
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Learning to trade under the reinforcement learning framework
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
Github action that builds docs using sphinx and places errors inline
Tensorforce: a TensorFlow library for applied reinforcement learning
Python Implementation of Reinforcement Learning: An Introduction
Trading environnement for RL agents, backtesting and training.
Repo for the Deep Reinforcement Learning Nanodegree program