Gopinath Subbegowda's Projects
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome R packages, frameworks and software.
Essential Cheat Sheets for deep learning and machine learning researchers
This is created as part of Coursera data science tool box
source from exercises in Coursera.
Coursera's Machine Learning by Andrew Ng
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Data for the HarvardX courses: PH525x
Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more
The lecture slides for Coursera's Data Analysis class
Created as part of Data science tool box course on Coursera by John Hopkins university
a curated list of R tutorials for Data Science, NLP and Machine Learning
The Leek group guide to data sharing
Developing Data Products Course from the Johns Hopkins Data Science Lab
Tools to make an R developer's life easier
My website
Task description and data for candidates applying to be a Data Analyst in the Discovery department at Wikimedia Foundation.
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
Instructions for setting up the software on your deep learning machine
Materials for March 12 ENAR short course on Data Science for Statisticians
Palettes and graphics matching your RStudio editor
Efficient R programming: a book
Code and data used to create the examples in "Empirical Software Engineering using R"
Plotting Assignment 1 for Exploratory Data Analysis
Data from the FAO for demonstrating reading and merging datasets
R wrapper for the Forbes list API