Eryk Lewinson's Projects
Answers to 120 commonly asked data science interview questions.
Long-term asset allocation strategies based on GARCH models - a simulation exercise
An example project showing experiment tracking combined with backtesting
Classifying cats vs. dogs using NNs
DAGsHub client libraries
A repository containing the code for an article on approaching an imbalanced classification problem
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Repository containing the code used for my presentation at Data Science Summit 2024, ML Edition
An example project showing how to set up experiment tracking in a few minutes
GitHub profile
Google Research
Example of implementing Isolation Forest in Python
Image classification problem with screenshots from two GameBoy games.
Scripts/Notebooks used for my articles published on Medium
Personal repository for Udacity's Machine Learning Engineer Nanodegree
Code used for articles published at Nvidia's Developer Blog
Demo of experiment tracking with DVC, all within VS Code
Repository of Python for Finance Cookbook, published by Packt
The repository of "Python for Finance Cookbook" 2nd edition
Different Deep Learning approaches to image colorization using old-school video games
An example of turning VS code into an experiment tracking platform