vivianah
masters student @uchicago | dssg alum @datascifellows & @dssgturing | @umich @umsi grad :)
Chicago
vivianah's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
matplotlib/cheatsheets
Official Matplotlib cheat sheets
evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
chiphuyen/python-is-cool
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
rougier/matplotlib-tutorial
Matplotlib tutorial for beginner
EthicalML/awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
aapatel09/handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
stefmolin/Hands-On-Data-Analysis-with-Pandas
Materials for following along with Hands-On Data Analysis with Pandas.
amueller/COMS4995-s20
COMS W4995 Applied Machine Learning - Spring 20
PacktPublishing/Data-Science-Projects-with-Python-Second-Ed
dssg/fairness_tutorial
Hands-on tutorial on ML Fairness
mode/playbook
Queries and visualization code for Mode Playbook.
facebookresearch/diffkt
A framework for automatic differentiation in Kotlin
FlorentBuissonOReilly/BehavioralDataAnalysis
Support files for the O'Reilly book "Behavioral Data Analysis with R and Python" by Florent Buisson
yoonhwang/hands-on-data-science-for-marketing
rasbt/scipy2022-talk
mloning/intro-to-ml-with-time-series-DSSGx-2020
Python tutorial on machine learning with time series for DSSGx 2020
UCB-MIDS/w241
This is the course repository for w241 and 290 -- Experiments and Causality.
timradtke/short-time-series
Code and data to reproduce the transfer of a learned posterior on one time series as a new prior on a related time series to model yearly seasonality for a short time series. Implemented in R and Stan.
Coleridge-Initiative/ada-2018-uchicago
Applied Data Analytics program at UChicago in the Summer of 2018
rcc-uchicago/python-best-practices
RCC workshop: Best coding practices for Python projects
shaycrk/architect
Plan, design and build train and test matrices
shaycrk/big-data-and-social-science
shaycrk/catwalk
Training, testing, and evaluating machine learning classifier models
shaycrk/fair-classification
Python code for training fair logistic regression classifiers.
svadakat/MMM_ThirdLove