Study variable correlations with matplotlib and seaborn, and use dimensionality reduction (PCA, t-SNE) to display complex datasets.
Analyse the COVID-19 data from John Hopkins University by yourself with python (pandas, holoviews, matplotlib)
Learn the basics of matplotlib in 1h. You'll make your first plots with a toy machine learning example.
Create a choropleth map with geoviews and geopandas. Working geoviews installation instructions as of May 2021.
Create an interactive display for geographical data with python: real-estate prices near Geneva.
Set up a typical data pipeline as may be used in experimental science and IOT, with Docker, InfluxDB, and Grafana.
Visualization is absolutely essential in data analysis, as it allows you to directly feed your data into a powerful neural network for unsupervised learning: your brain. Learn how to use bokeh to dig deeper in your data!
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