Arvind Sharma's Projects
A curated list of Best Artificial Intelligence Resources
BigData
Python code for BLP (Berry, Levinsohn and Pakes) method of structural demand estimation using the random-coefficients logit model. Code for estimation of demand and supply-side moment jointly is also provided.
Bloomberg Python API
A 4-hour end to end look at HPCC Systems open-source platform and ECL (Enterprise Control Language)
Causal Inference 1 Mixtape Session taught by Scott Cunningham
Slides for the Seattle University Causal Inference Class
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
This is a coding course in Python to accompany the Data Analysis material
Coding course to complete Data Analysis in R
his practical workshop on βData Wrangling with Python and Pandasβ gives students a hands-on experience to master the essential techniques of data wrangling.
repository for Community Mentor content related to the Johns Hopkins University Data Science Specialization on Coursera
The Leek group guide to data sharing
Demand Estimation taught by Jeff Gortmaker and Ariel Pakes
ECO 395M: Data Mining and Statistical Learning
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.
A RStudio addin for ggplot2 theme tweaking
h2o = fast statistical, machine learning & math runtime for bigdata
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.
Heart Failure Analysis
This repository contains all the material for a one-semester course in intermediate macroeconomics. No textbook required.
Course materials for "Introduction to Data Science with R", a video course by RStudio and O'Reilly Media
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python