Hursh Desai's repositories
Jupyter_Notebook_on_AWS
Learn how to deploy Jupyter Notebook server on AWS EC2 that is scalable and accessible via VSCode Remote Extension
AB-Demo
Simple front-end A/B experiment
amazon-sagemaker-workshop
Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more
Austin-311-Data-Analysis
Exploratory Data Analysis (EDA) of Austin 311 calls from 2014 -July, 2019
aws-sagemaker-build
Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S3 and GitHub events
aws-serverless-workshops
Code and walkthrough labs to set up serverless applications for Wild Rydes workshops
cheat_sheets
A collection of handy cheat sheets for programming, data science, version control, statistics, and probability.
course-v3
The 3rd edition of course.fast.ai
coursera-stanford-ml-course
:mortar_board: Collection of my lecture notes and assignments for the Coursera Machine Learning taught by Andrew Ng.
data
Data and code behind the articles and graphics at FiveThirtyEight
Data-Science--Cheat-Sheet
Cheat Sheets
ds-cheat-sheets
Cheat Sheet for common python data science libraries
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
DS-work
This repo contains all DS related work
GetCards
Notebook to download machine learning flashcards
lambda-lecture-pytest
Exercises in automated testing in Python, for students at the Lambda School!
LambdaSchoolDataScience
Completed assignments and coding challenges from the Lambda School Data Science program.
mathematics-for-machine-learning
A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematics essential to understanding machine learning.
MemeProject
Dank Learning codebase, generate a meme from any image using AI. Uses a modified version of the Show and Tell image captioning network
pipeline
PipelineAI Kubeflow Distribution
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
project-pubg
A web app to figure out PUBG playing strategy
pycon-pandas-tutorial-brandon-rhodes
Pycon2015 Brandon Rhodes - Pandas from the Ground Up, exercises, and notebook
python-cheatsheet
Basic Cheat Sheet for Python (PDF, Markdown and Jupyter Notebook)
sql-api-wrappers
Python SQL Databases API Wrappers
workshops
A few exercises for use at events.