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breast-cancer clustering dbscan dimensionality-reduction em-algorithm gaussian-mixture-model gmm hierarchical iris k-means linear-regression machine-learning matplotlib ols pca regression scikit-learn statistics

  • Numerical computing - Intro to DuckDB

    Numerical computing - Intro to DuckDB DuckDB is an in-process analytical database that runs entirely inside your Python session. It is optimised for OLAP analytical workloads: fast aggregations, scans
    Created Sun, 17 May 2026 00:00:00 +0000

  • Numerical computing - Intro to pandas

    Numerical computing - Intro to pandas Pandas is a fast, powerful, and flexible open-source data analysis library for Python. It provides two core data structures: Series 1-D and DataFrame 2-D table. T
    Created Sun, 17 May 2026 00:00:00 +0000

  • Numerical computing - Intro to polars

    Numerical computing - Intro to polars Polars is a blazingly fast DataFrame library written in Rust and exposed to Python via PyO3. It uses Apache Arrow as its memory model, supports lazy evaluation wi
    Created Sun, 17 May 2026 00:00:00 +0000

  • Other topics - Intro to requests

    Other topics - Intro to requests requests is the most popular Python library for making HTTP calls. It turns a network request into a single, readable function call. This notebook covers: 1. Installat
    Created Sun, 17 May 2026 00:00:00 +0000

  • Other topics - Introduction to Small-World Networks

    Other topics - Introduction to Small-World Networks A small-world network is a graph in which most nodes are not directly connected, yet any two nodes can be reached by a surprisingly short path — com
    Created Sun, 17 May 2026 00:00:00 +0000

  • Single-Thread vs Multi-Thread in Python

    Single-Thread vs Multi-Thread in Python This notebook demonstrates the difference between single-threaded and multi-threaded execution in Python. We use an I/O-bound workload — simulated network reque
    Created Sun, 17 May 2026 00:00:00 +0000

  • Statistics - 2D Regression

    An introduction to 2D (simple linear) regression: NIST definition, OLS estimators, and three real-life examples covering advertising spend, education vs. wage, and California housing prices.
    statistics regression linear-regression ols scikit-learn Created Sun, 17 May 2026 00:00:00 +0000

  • Statistics - Clustering

    An introduction to clustering: definition, when it is useful, and real-life examples using K-Means, Hierarchical, DBSCAN, and Gaussian Mixture Models.
    statistics clustering k-means dbscan hierarchical Created Sun, 17 May 2026 00:00:00 +0000

  • Statistics - Principal Component Analysis (PCA)

    An introduction to Principal Component Analysis (PCA): definition, when it is useful, and a real-life example using the Iris dataset.
    statistics pca dimensionality-reduction scikit-learn iris Created Sun, 17 May 2026 00:00:00 +0000

  • Visualization - Intro to matplotlib

    Visualization - Intro to matplotlib Matplotlibhttps://matplotlib.org/ is the most widely used Python library for creating static, animated, and interactive visualizations. It provides a MATLAB-like pl
    Created Sun, 17 May 2026 00:00:00 +0000
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