aashitak Goto Github PK

a-hands-on-workshop-in-machine-learning-fall-2022

a-hands-on-workshop-in-machine-learning-fall-2023

a-hands-on-workshop-in-machine-learning-spring-2023

a-hands-on-workshop-in-machine-learning-spring-2024

a-hands-on-workshop-series-in-machine-learning-fall-2019

a-hands-on-workshop-series-in-machine-learning-spring-2021

aashitak.github.io

My personal webpage

bubbly

A python package for plotting animated and interactive bubble charts using Plotly

carnd-helpers

cgu-ml

The course material for the 14th August Guest Lecture session for the intensive 4-week machine learning course at Division of Politics and Economics, Claremont Graduate University (CGU)

claremont-graduate-university-guest-lecture

cs121projectexample1

cs121projectexample1html

dat210x

Programming with Python for Data Science Microsoft

data-science-reu-workshop

datasets

Datasets for exercises

fall-2020-a-hands-on-workshop-series-in-machine-learning

huffman-coding-project

jupyterbook

Testing the set up for a jupyter book

learnxinyminutes-docs

Code documentation written as code! How novel and totally my idea!

machine-learning-using-mathematica

A gentle introduction of Machine Learning using Mathematica

machine-learning-workshop-fall2021

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

ml-workshops

Workshop series at Harvey Mudd College.

notepad

Notepad is a Jekyll theme which is very simple, clean and beautiful

nyt-comments

A python package that retrieves comments from the New York Times articles customized with respect to timeline and queries and return the comments' and articles' data as pandas dataframes with an option to store it as csv files.

plagiarism-detection

A model to classify suspicious documents as plagiarized or not from the source documents

plotting-record-temperatures

Plotting temperatures in the New Orleans area for the period 2005-2015 using matplotlib

practical_seq2seq

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

python-challenge-5-peakhill

Pickle and unpickle data