Download market data from Yahoo! Finance's API

Updated 2023-08-14 19:52:04 +08:00

Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'

Updated 2023-08-18 20:13:08 +08:00

This handbook extensively covers time series analysis and forecasting, delving from the most fundamental methods to the state-of-the-art. The handbook was made in Python and is designed such that readers can both learn the theory and apply them to real-world problems.

Updated 2023-08-18 19:45:59 +08:00

It is an utility library for Kaggle and offline competitions. It is particularly focused on experiment tracking, feature engineering, and validation.

Updated 2023-08-18 20:32:25 +08:00

notebooks for

Updated 2023-09-05 09:37:24 +08:00

IPython notebooks with demo code intended as a companion to the book: Data Driven Science & Engineering: Machine Learning, Dynamical Systems, and Control by S. L. Brunton and J. N. Kutz

Updated 2023-08-18 19:52:40 +08:00

A collection of resources for pandas (Python) and related subjects.

Updated 2023-08-18 20:34:19 +08:00

This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks.

Updated 2023-08-18 20:29:47 +08:00

Jupylet is a Python library for programming 2D and 3D games, graphics, music and sound synthesizers, interactively in a Jupyter notebook. It is intended for three types of audiences: Computer scientists, researchers, and students of deep reinforcement learning. Musicians interested in sound synthesis and live music coding. Kids and their parents interested in learning to program.

Updated 2023-08-18 20:26:05 +08:00

Lean Six Sigma (LSS) is a method based on a stepwise approach to process improvements.This approach usually follows 5 steps (Define, Measure, Analyze, Improve and Control) for improving existing process problems with unknown causes. source:

Updated 2023-09-15 11:16:05 +08:00

Set of Jupyter notebook supporting articles on

Updated 2023-09-15 10:43:33 +08:00

It is a Technical Analysis library useful to do feature engineering from financial time series datasets (Open, Close, High, Low, Volume). It is built on Pandas and Numpy. Project url:

Updated 2023-09-15 11:16:05 +08:00

Get power generation from ZeverSolar Inverter and present it to front end as a sensor for Hass.IO

Updated 2023-08-18 19:53:19 +08:00

Microsoft offer a 10-week, 20-lesson curriculum all about Data Science

Updated 2023-08-15 18:51:26 +08:00

ML for Trading - 2nd Edition This book aims to show how ML can add value to algorithmic trading strategies in a practical yet comprehensive way. It covers a broad range of ML techniques from linear regression to deep reinforcement learning and demonstrates how to build, backtest, and evaluate a trading strategy driven by model predictions.

Updated 2023-09-15 11:16:05 +08:00

Implementing a Neural Network from Scratch

Updated 2023-08-15 18:46:09 +08:00

A summary from a Chinese author "bitcarmanlee". Chinese contents. Please go to the author's link

Updated 2023-08-18 20:43:49 +08:00

Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics.

Updated 2023-10-24 11:00:51 +08:00