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VitorKamada / repository
Jupyter Notebooks and Slides that support the Data Science aspect of my Econometrics courses.
By Vitor Kamada
E-mail: econometrics.methods@gmail.com
Last updated 8-15-2020
This repository contains Jupyter Notebooks and Slides that support the Data Science aspect of my Econometrics courses at Wayne State University (WSU):
ECO 5100 - Introductory Statistics and Econometrics
Selected from shared topics, language and repository description—not editorial ratings.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
ageron /
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
dive-into-machine-learning /
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
nteract /
📚 Parameterize, execute, and analyze notebooks
mljar /
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.