I'm a data scientist who is passionate about learning and teaching others. When I'm not coding you can find me trail running, cooking or playing Go.
Currently working on a one year contract with Maltem Australia
PhD in Chemical Engineering and Grad Certificate in Applied Finance and Investment
- Intuitive Bayes
- Leveraging Shiny Extensions
- Outstanding User Interfaces with Shiny
- Javascript for R
- Engineering Production Grade Shiny Apps
- Happy git with R
- Mastering Shiny
- Building R Packages
- Building internal packages
- Using ggplot2 in packages
- Programming with ggplot2
- Programming with dplyr
- rlang Lionel Henry
- Tidyverse Style Guide
- R for Data Science
- Advanced R
- Advanced R solutions
- UC Business Analytics in R
- The Carpentries
- DataCamp - R Programmer Track
- Building data visualisations and models with the Tidymodels and Tidyverse meta-packages. Every Tuesday I check out the latest data posted via the TidyTuesday package.
- Bayesian Linear Regression and Classification in Python
- Natural Language Processing with Transformers
- Deep Learning for Coders with fastai and PyTorch.
- Tidy Modeling with R
- Coursera - Natural Language Processing with Classification and Vector Spaces
- Practical Data Science Specialization, learning how to combine my machine learning knowledge with AWS.
- Coursera - Building Cloud Computing Solutions as Scale
- edX Stanford Online - Statistical Learning
- Everything Bayesian
Since there are too many things to learn at once...
-
Applied Predictive Modeling, with the book by Max Kuhn and Kjell Johnson Applied Predictive Modeling.
-
Supply chain optimization through simulation.
-
Machine Learning Engineering for Production MLOps Specialization.
-
Julia language with an MIT course.
-
Having a look at the Friday challenges at 538 Riddler
- Statistical Rethinking.
- Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow.
- Practical MLOps: Operationalizing Machine Learning Models.
- Feature Engineering and Selection.
- The Full Bookdown Catalog
- Steve Nouri's Online Book Links
- R Public Library By Topic
- R Studio Conference Materials
- CRAN Machine Learning
- CRAN Task Views
- Bookdown
- Awesome Shiny Extensions
- Time Series Forecasting and Recommendation Systems using Tidymodels and Shiny dashboards.
- Natural language processing for text generation and classification
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent