Azure Databricks Notebooks code samples. Mounting ADLS, working with dataframes, and so on.
Basic operations on dataset with baby names. Like top 10 names, top unisex names etc.
Starter pack with code samples of how to work with numpy & pandas. Data types, data structures (arrays, dictionaries, sets etc.), visualization with matplotlib.pyplot.
Data preporation, visualization, basic math & statistics, web-scraping, plotly collaboration.
From equations, functions to statistics & probability
Regression & clustering models, dimension reduction, ML methods: association rules with Apriori, neural network w/ perceptron, k-instance based learning, decision tree, bayesian, ensemble (w/ random forests)
Some jupyter notebooks magics samples
Series, indexing, plotting, aggregations.
Bar graph, line graph, matplotlib styles, pyplot basics.
Small project to build weather charts and find anomalies.