Pinned Repositories
clothing-recommender
ML
pyjanitor
Clean APIs for data cleaning. Python implementation of R package Janitor
2017-spring-main
advent-of-code
databricks-large-language-models
Notebooks for Large Language Models (LLMs) Specialization
datasharing
The Leek group guide to data sharing
dbt-tutorial
EX2Tweetwordcount
sallyhong's Repositories
sallyhong/2017-spring-main
sallyhong/advent-of-code
sallyhong/databricks-large-language-models
Notebooks for Large Language Models (LLMs) Specialization
sallyhong/datasharing
The Leek group guide to data sharing
sallyhong/dbt-tutorial
sallyhong/EX2Tweetwordcount
sallyhong/exercise_1
sallyhong/hello-hacktoberfest
A sample project for practicing GitHub workflows as preparation for Hacktoberfest
sallyhong/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
sallyhong/mlops-zoomcamp
MLOps course from DataTalks.Club (Sally's Notes)
sallyhong/pyjanitor
Clean APIs for data cleaning. Python implementation of R package Janitor
sallyhong/Robyn
Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.
sallyhong/test123
sallyhong/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
sallyhong/w205_final_project
sallyhong/w207_project_01
sallyhong/w209_assignment_03
sallyhong/w209_assignment_04
sallyhong/wordsearch