tripodhub 0.1.1

A pip-installable collection of 10 machine learning lab programs.

tripodhub

This package contains the 10 experiments listed in the PESIT Machine Learning Lab manual and is set up to work well in Jupyter Notebook.

Included labs

1. Histogram, box plot, and outlier analysis on California Housing
2. Correlation matrix, heatmap, and pair plot on California Housing
3. PCA on Iris dataset
4. Find-S algorithm using CSV training data
5. KNN classification on generated points
6. Locally Weighted Regression
7. Linear and Polynomial Regression
8. Decision Tree classification on Breast Cancer data
9. Naive Bayes on Olivetti Faces
10. K-means clustering on Breast Cancer data

Install locally

python -m pip install -e .

Get notebook code

from tripodhub import get_code

print(get_code(1))

Run from terminal

ml-lab --list
ml-lab 1
ml-lab 4
ml-lab 1 --run --no-plots

Run directly in Python

from tripodhub import run_lab

run_lab(1, show_plots=True)

Build distribution files

python -m build

Notes

• lab07 uses California Housing as a practical replacement for the deprecated Boston dataset loader.
• lab09 and the Auto MPG fallback in lab07 may download datasets the first time they are run. #\x00 \x00t\x00r\x00i\x00p\x00o\x00d\x00h\x00u\x00b\x00 \x00 \x00#\x00 \x00t\x00r\x00i\x00p\x00o\x00d\x00h\x00u\x00b\x00 \x00 \x00