Pinned Repositories
bangalore_home_prices_app
Deployed a ML model that predicts home prices from Bangalore
costa_rica_poverty_webapp
A streamlit app for predicting the poverty level of costa rican households, using data from the Inter-American Development Bank.
Data-Projects
My data and research projects, past and present.
practice-projects-with-comments
Practice data projects that I did in the past to hone my skills as a Data Scientist. I added comments to these projects to detail my thought process. These notebooks can be "mini walk-throughs".
quantitative-research
Economic and quantitative research projects that I did during my studies in McGill University and Johns Hopkins University.
reading_notes
Notes I make while I am reading.
uber_rfm_exploratory_app
Streamlit app used for exploring the relationship between the Rides for Mom program and prenatal care attendance
us_salary_web_api
web api for the US salary predictor
hfung4's Repositories
hfung4/costa_rica_poverty_webapp
A streamlit app for predicting the poverty level of costa rican households, using data from the Inter-American Development Bank.
hfung4/bangalore_home_prices_app
Deployed a ML model that predicts home prices from Bangalore
hfung4/Data-Projects
My data and research projects, past and present.
hfung4/uber_rfm_exploratory_app
Streamlit app used for exploring the relationship between the Rides for Mom program and prenatal care attendance
hfung4/us_salary_web_api
web api for the US salary predictor
hfung4/practice-projects-with-comments
Practice data projects that I did in the past to hone my skills as a Data Scientist. I added comments to these projects to detail my thought process. These notebooks can be "mini walk-throughs".
hfung4/quantitative-research
Economic and quantitative research projects that I did during my studies in McGill University and Johns Hopkins University.
hfung4/reading_notes
Notes I make while I am reading.
hfung4/boston_housing_app
hfung4/credit_card_fraud_detection
Train a model to predict credit card fraudulent transactions from a highly imbalanced dataset
hfung4/credit_card_fraud_webapp
Streamlit app to detect credit card fraudulent transactions
hfung4/databricks-asset-bundles-dais2023
hfung4/databricks-ml-associate
hfung4/effective_pandas_book
Errata and code for Effective Pandas book
hfung4/Generative-AI-with-LLMs
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.
hfung4/HeadFirstDesignPatterns_python
Example code from Head First Design Patterns translated to python
hfung4/heart_disease_prediction
Heart disease prediction using data from UCI database
hfung4/hfung4.github.io
A small introduction about myself on github.
hfung4/kPOD
This Python package implements an extension to the k-means clustering algorithm for use with missing data.
hfung4/mkdocs-material-youtube-tutorial
MkDocs Tutorial for Material Theme
hfung4/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
hfung4/mlops-stacks
This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.
hfung4/Natural-Language-Processing-Specialization
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
hfung4/pandas-checks
🐼🩺 Pandas Checks: Non-invasive health checks for Pandas method chains
hfung4/pandas_exercises
Practice your pandas skills!
hfung4/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
hfung4/pydata-docker-tutorial
Tutorial given at PyData LA 2018
hfung4/recipes-regression-template
Template repo for kickstarting recipes for regression use case
hfung4/resources
Useful online resources: textbooks, notebooks, and tutorials.
hfung4/SlapThatLikeButton-TestingStarterProject
A starter project to show how to set up and use automated testing in Python