almost-any-ml-problem

:notebook: :chart_with_upwards_trend: Functions from Abhishek Thakur's book Approaching (Almost) Any Machine Learning Problem.

bigquerypingpong

customerchurn

:recycle: :telephone_receiver: Predicting whether a customer will change telecommunications provider and tracking experiments with mlflow

essaycompanion

:globe_with_meridians: :memo: An NLP powered Google Chrome extension to summarize, paraphrase, get named entities, and find keyword synonyms from highlighted text.

jackmleitch

personalwebsite

:technologist: :t-rex: Personal website built using Docusaurus

pingpongrank

:tennis: :scroll: Ping pong ranking system, based on chess ELO rankings, that my friends and I use to decide who is actually better at ping pong! App built and deployed using Streamlit with a BigQuery backend.

project_auto

:keyboard: :rocket: Automatic set up of data science projects. Calling 'create project_name' in the terminal will create the project directories, initialize a Github repo, and make the first commit.

rust-ml-inference

Playing around with Rust and comparing ML inference between rust and python :crab: :snake:

strava2ap

:arrows_counterclockwise: :running: Automation Task: automatically updates one running social media using titles and descriptions of the other.

stravadatapipline

:arrows_counterclockwise: :running: EtLT of my own Strava data using the Strava API, MySQL, Python, S3, Redshift, and Airflow

stravakudos

:running: :dart: Predicting Strava Kudos on my own activities using the given activity's attributes.

whatscooking-

:fork_and_knife: :thumbsup: Recipe reccomendation system using Word2Vec, TF-IDF, and Cosine Similarity.

whatscooking-deployment