Approximate Nearest Neighbors in C /Python optimized for memory usage and loading/saving to disk

This repository hosts the code behind the online book, Coding for Economists.

Code and notebooks for Econometric Theory

Instrumented Principal Components Analysis

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

scikit-learn: machine learning in Python

Development space for PhD in Finance

A curated list of practical financial machine learning tools and applications.

This repo includes ChatGPT prompt curation to use ChatGPT better.

《动手学大模型Dive into LLMs》系列编程实践教程

Python code for "Probabilistic Machine learning" book by Kevin Murphy

This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airflow.

Data Analysis for Economics

The repository for the Machine Learning and Big Data with kdb /q book by Novotny et al.

ARCH models in Python

Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

Hyperparameter Experiments with TensorFlow and Keras

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

DS-GA 1013 Mathematical Tools for Data Science

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Python for Finance module for Imperial MSc in Mathematics and Finance

"Probabilistic Machine Learning" - a book series by Kevin Murphy

FinRL: Financial Reinforcement Learning. 🔥

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman

Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly wit…

This is a 2nd Year PhD Course In Micro-econometrics