kartechbabu

2016-11-14-reproducible-undergrad-stats

Slides and other materials for the "Weaving reproducibility through the undergraduate statistics curriculum" ASA Webinar

2018_eRum_TextClassification_workshop

adv-r

Advanced R programming: a book

agusmakmun.github.io

:muscle: My Stack Problems - Jekyll Theme

arcgis-python-api

Documentation and samples for ArcGIS API for Python

arcpy_for_socialscientists

ArcPy Tutorials for Social Scientists

aside

Send a long R job to be run aside

lime

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

python-webscraping-workshop

In this course you will learn the basics of Python programming as well as the details on how to program a web-scraper. A web-scraper is a small program that automatically opens websites and searches for specified data.

kartechbabu/arcgis-python-api

Documentation and samples for ArcGIS API for Python

kartechbabu/causalML

A course on causal machine learning.

kartechbabu/COVIDExposureIndices

Exposure indices derived from PlaceIQ movement data by Couture, Dingel, Green, Handbury, and Williams

kartechbabu/data-science-at-the-command-line

Data Science at the Command Line

kartechbabu/data-science-from-scratch

code for Data Science From Scratch book

kartechbabu/dealing_with_data

Material that I use for a variety of classes and tutorials

kartechbabu/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

kartechbabu/deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

kartechbabu/econometrics-sandbox

This repository contains the code that creates the dashboards references in the “Econometrics Sandbox” blogpost series publish in the Development Impact blog (https://blogs.worldbank.org/impactevaluations)

kartechbabu/FirstCourseNetworkScience

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

kartechbabu/geocompr

Open source book: Geocomputation with R

kartechbabu/handson-ml2

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.

kartechbabu/intro-to-ml-tensorflow

Projects and exercises for the Udacity Intro to Machine Learning with TensorFlow course

kartechbabu/intro_dgm

An Introduction to Deep Generative Modeling: Examples

kartechbabu/introduction-to-databases

kartechbabu/introduction-to-python

Notes for the "Introduction to Programming for Data Science" class

kartechbabu/introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kartechbabu/jupyter

Jupyter metapackage for installation, docs and chat

kartechbabu/jupyter-dockerfile

kartechbabu/lecture-python-programming.notebooks

Notebooks for https://python-programming.quantecon.org

kartechbabu/lecture-python.notebooks

Notebooks for https://python.quantecon.org

kartechbabu/math-app-ml

Essential mathematics for applied machine learning and data science

kartechbabu/mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

kartechbabu/OSE2019

kartechbabu/PyPortfolioOpt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

kartechbabu/python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

kartechbabu/quantecon-notebooks-julia-colab

Colab notebooks for the QuantEcon Julia lectures

kartechbabu/QuantEcon.py

A community based Python library for quantitative economics

kartechbabu/sars2pack

An R package with nearly 40 highly cited, read-to-use, up-to-date COVID-19 pandemic data resources

kartechbabu/Template-for-Overleaf

A LaTeX Template for Economics Papers