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Name: Prashant
Type: User
Company: IBM
Location: India
Prashant's Projects
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
d2l-en
Dive into Deep Learning (CV chapters coming soon)
data-scientist-mooc
Coursera class in data science using R
datasciencecoursera
DataScienceToolBox Assignment
datasciencerwebinar
The repository contains slides, code and markdown files for the Revolution Analytics Webinar: Data Science with R given 9/25/14
datasharing
The Leek group guide to data sharing
dotfiles
Create machine learning models from MS
extension-data-driven-parameters
Automatically update your parameters based on your data!
extension-date-updater
Automatically update your date parameters to today's date.
freeml
Data Science Resources (Mostly Free)
google-api-python-client
🐍 The official Python client library for Google's discovery based APIs.
grenade
Deep Learning in Haskell
ice_breaker
https://ibm-learning.udemy.com/course/langchain/learn/lecture/37491226#overview
jupyter
Jupyter metapackage for installation, docs and chat
machinelearningnotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
ml-basics
Exercise notebooks for Machine Learning modules on Microsoft Learn
mslearn-aml-labs
Azure Machine Learning Lab Notebooks
pythondatasciencehandbook
Python Data Science Handbook: full text in Jupyter Notebooks
r-igraph-network-workshop-netscix
NetSciX 2016 workshop on network analysis and visualization with R and igraph
rest-api-samples
Samples for the Tableau REST API
sas_kernel
A Jupyter kernel for SAS. This opens up all the data manipulation and analytics capabilities of your SAS system within a notebook interface. Use the Jupyter Notebook interface to execute SAS code and view results inline.
scikit-learn-interactive-tutorial
IPython notebooks and data an interactive scikit-learn tutorial.
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
tabpy
Execute Python code on the fly and display results in Tableau visualizations
tensorflow
Computation using data flow graphs for scalable machine learning
themlbook
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
webdataconnector
Bring the data you care about into Tableau
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