Name: Will Fong
Type: User
Company: @purestorage, @PureStorage-OpenConnect, @portworx, @sfu, @EY-Data-Science-Program
Bio: Learning space for a data and analytics professional
Location: Canada
Blog: https://www.codewars.com/users/will-fong
Will Fong's Projects
Case study solutions for #8WeekSQLChallenge at https://8weeksqlchallenge.com
Airflow basics tutorial
Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.
An awesome README template to jumpstart your projects!
Code for Data Engineer Zoomcamp course
A collection of neat and practical data science and machine learning projects
The fastai book, published as Jupyter Notebooks
A fast and lightweight AutoML library.
Using a forensic accounting technique on SAP data, there is evidence that almost 50 vendor payments worth nearly $4 million are irregular and should be investigated further.
:symbols: A collection of GitHub issue and pull request templates
Instacartβs data science team plays a big part in providing this delightful shopping experience. Currently they use transactional data to develop models that predict which products a user will buy again, try for the first time, or add to their cart next during a session.
An ongoing list of pandas quirks
Katacoda Scenarios
Exercise notebooks for Machine Learning modules on Microsoft Learn
A curated list of product management advice for technical people.
A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
Analysis of US salaries by job title and metro area in Power BI
Our solution to the data science hackathon by McKinsey, Prohack by our team D1D, which was ranked 4th on public leaderboard and 25th on private leaderboard.
Deep Learning (with PyTorch)
Analysis and visualization of housing interest data in Power BI
A standard style for README files
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
Text and supporting code for Think Stats, 2nd Edition