BIS602 Machine Learning Lab Programs - NIE Mysuru (4NI23IS104)
Project description
NIE ML Labs (nie-ml-labs)
BIS602 Machine Learning Lab Programs
4NI23IS104 | The National Institute of Engineering, Mysuru (VTU)
Install
pip install nie-ml-labs
Or install locally (editable):
git clone <your-repo-url>
cd nie_ml_labs
pip install -e .
Usage
import nie_ml_labs
# Lab 1 - ADALINE
from nie_ml_labs import Adaline
import numpy as np
m = Adaline(lr=0.01, epochs=10)
m.fit(np.array([[1,2],[2,3]]), np.array([1,0]))
# Run any lab demo directly
from nie_ml_labs import lab1, lab2, lab3, lab4, lab5, lab6, lab7
lab1.run() # ADALINE demo
lab2.run() # FIND-S
lab3.run() # Candidate Elimination
lab4.run() # Decision Tree
lab5.run() # Naive Bayes (Gaussian)
lab6.run() # Naive Bayes (Sentiment)
lab7.run() # Bayesian Network
# Use your own CSV
lab4.run(csv_path="path/to/your/data.csv")
# Lab 6 with custom sentences
lab6.run(test_sentences=["This is great", "Horrible experience"])
Labs
| Lab | Algorithm |
|---|---|
| lab1 | ADALINE |
| lab2 | FIND-S |
| lab3 | Candidate Elimination |
| lab4 | Decision Tree (ID3/Entropy) |
| lab5 | Naive Bayes — Gaussian |
| lab6 | Naive Bayes — Text/Sentiment |
| lab7 | Bayesian Network (Heart Disease) |
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