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Python
Python basics
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Python in practice
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Working with data
Data cleaning by example
SQL via sqlite
sqlite in python
HDF5
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Advanced web scraping
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Advanced interactive graphics
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Images
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Extra python tooling
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Numpy
Jupyterwidgets and voila
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Dash callbacks
Streamlit
Base R
R tidyverse quick example
R from python
Python from R
Regression models
Introduction to binary classification
Regression through the origin
Continuous prediction with regression
Logistic regression
Maximum Likelihood
Linear separable models
Interpretation of linear regression coefficients.
Linear models: a classic example
Regression interpretation
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Regression and FFTs
Neural networks
Basic regression in pytorch
Logistic regression in pytorch
Pytorch by example
Convnet classifier example
Unsupervised learning
Unsupervised learning
Repository
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.ipynb
.pdf
Tools
Tools
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In this section we elaborate on the tools outlined in the introduction.
