vincecarse

vincecarse's Stars

• asadoughi/stat-learning

  Notes and exercise attempts for "An Introduction to Statistical Learning"

  Language:HTML2.1k1.6k

• ageron/handson-ml

  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  Language:Jupyter Notebook25.1k12.9k

• py-why/EconML

  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

  Language:Jupyter Notebook3.7k693

• jstac/quantecon_nyu_2016

  Quantitative Economics

  Language:Jupyter Notebook13176

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook36.7k5.8k

• rossant/awesome-math

  A curated list of awesome mathematics resources

  Language:Python8.4k931

• jcoliver/learn-r

  A suite of lessons for learning the R programming language

  Language:HTML4210

• chrisconlon/micro-metrics

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

  Language:TeX100109

• chrisconlon/applied_metrics

  A PhD course in Applied Econometrics and Panel Data

  Language:HTML278218

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook42.3k17.7k