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This is where I keep my data science portfolio.

Some of the notebooks presented here can be found and executed directly in DeepNote.

For now, this is just a work in progress!!!

Contents

Data Visualization

• ViolinPlot vs BoxPlot: covering how to visualize data in boxplots or violinplots

“Classical” Machine Learning

1. Unsupervised Learning

   • Custom PCA class: Principal Component Analysis is here explored in a custom class

Deep Learning

• ONNX classifier: Sharing DL models between frameworks or programming languages. Here an ONNX model exported from MATLAB and used in Python.

Code Snippets and tutorials

• Intro to Numpy: Tutorial on numpy.
• Intro to Pandas: Tutorial on Pandas.

Databases

• SQLite3: database interaction from Python: covering how to use SQLite3 to interact with a database in python
• 4SpecID: a C++ software developed to audit and annotate databases published here.

Image Analysis

• ImageJ workflows: Collection of ImageJ workflows to solve problems in image analysis.

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