Ethan Lee's Projects
My Answer to 120 Data Science Interview Questions
Bypass Paywalls web browser extension for Chrome and Firefox.
Placed Top 50 in the first Coursera Challenge Labs to predict retention probabilities of Coursera users based on their subscription data. Achieved a ROC AUC score of 0.74 using a Random Forest model.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Data science project offered by British Airways as part of their virtual internship program to analyze customer feedback and to do predictive modelling on flight bookings
Applied data science project using purpose-built ML tools in the AWS cloud, including AutoML, Amazon SageMaker and custom BERT models to build, train and deploy scalable, end-to-end ML pipelines for sentiment analysis
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Analyzing FIFA World Football Rankings with Python and R
Using machine learning models to predict the outcome of a horse race, and run backtesting to see if we can profit from betting
Building a linear regression model to predict housing prices in Ames, USA - GA Data Science Immersive Project
A text file describing some of the more important how-tos when setting up my personal Github
Completed this project as part of Cognizant's Artificial Intelligence Virtual Experience Program to help a business client optimize the level of inventory
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. In this Kaggle case, we will use various classification-based models to detect whether a transaction is a normal payment or a fraud.
Links
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Code for Machine Learning for Algorithmic Trading
Machine Learning for Financial Risk Management using Python
Machine Learning Engineering for Production (MLOps) Coursera Specialization
Using the MNIST dataset to train classifier algorithms to visually predict number digits
A place to store all my templates and codes!
This is the repo for the Udemy Course Python Dashboards with Plotly's Dash
Brainstorming Folder
A series of mini ML projects I have done to familiarize with PySpark
A Python folder with a few code files collated from past courses on standard libraries (pandas, numpy, matplotlib, seaborn etc)
An analysis of SAT and ACT participation rates - GA Data Science Immersive Project
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent