Joe High's repositories
Intro-to-Databases-F22
W4111 - Introduction to Databases course, Columbia University, Fall 2022
Data-Science-Portfolio
This repository, while not yet complete, houses a collection of projects I've been involved in during my academic journey or pursued out of personal interest.
PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development and model validation
COMS_W4705_NLP
Assignments for COMS W4705 (Natural Language Processing) at Columbia University
IEOR_E4150_Project
Basic statistics and regression project required for IEOR E4150. Note that the requirements for the project were at a relatively basic level (fundamental classical statistical methods), so the entire project was completed in just a few days from start to finish, i.e., it was rushed.
IEORE4523-Data-Analytics
Material and assignments for Data Analytics course (IEOR E4523) @ Columbia
pandas_exercises
Practice your pandas skills!
IEOR4523_Project
This repo contains the materials for the group project in Data Analytics
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
brew
🍺 The missing package manager for macOS (or Linux)
EN.550.413
Applied Statistics & Data Analysis @ JHU
EN.553.633
Monte Carlo Methods @ JHU
Data_Mining_553.636
Data Mining @ JHU
IEORE4007
Optimization Models & Methods for FE @ Columbia
EN.553.732
Bayesian Statistics @ JHU
Data-Science--Cheat-Sheet
Cheat Sheets
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay