mlbuddy-a11y

A friendly, lightweight Machine Learning wrapper library built specifically for beginners!

Instead of writing complex, intimidating boilerplate code, mlbuddy-a11y allows you to load data, split it, train models, and get performance metrics with just a few lines of clean, simple code.

Features

• Easy data loading and column splitting using Pandas.
• Automated train/test array splitting.
• 3 Core Regression Algorithms (Linear Regression, Decision Tree, Random Forest).
• 3 Core Classification Algorithms (Logistic Regression, Decision Tree, Random Forest).

Installation

pip install mlbuddy-a11y

Quickstart Example

import pandas as pd
from mlbuddy_a11y.core import MLBuddy

# 1. Create a quick practice dataset
toy_data = {
    "hours_studied": [2.5, 7.0, 1.5, 8.5, 3.0, 9.0],
    "attendance":,
    "passed": [0, 1, 0, 1, 0, 1]
}
df = pd.DataFrame(toy_data)

# 2. Let your buddy do the work!
buddy = MLBuddy()
buddy.load_data(df, target='passed')
buddy.split_data()

# 3. Train and Evaluate
buddy.train_forest_classification()
buddy.evaluate_classification()