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An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control
LazyProgrammer Udemy Course Content
A time series prediction project on the CBOE VIX index.
Data sets and scripts for Coursera Big Data Specialization.
Code and data samples from GeospatialPython.com and Books
Examples of using Raster Vision on open datasets
Data processing + Unsupervised model on Google Timeline dataset
Exploratory analysis of Bayesian models with Python
Learn OpenCV : C++ and Python Examples
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
Supporting code for short YouTube series Neural Networks Demystified.
Python Implementation of Reinforcement Learning: An Introduction
https://www.nytimes.com/2018/03/15/nyregion/bike-lane-blocked-new-york.html
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great J…
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Thai natural language processing in Python