Weight Prediction Using Machine Learning

Overview

This project predicts weight based on height and gender using machine learning.

Dataset

• Features: Height (numerical), Gender (categorical).
• Target: Weight (numerical).
• File: dataset.csv (add to repository or specify source).

Workflow

1. Data Collection: Gather height, gender, weight data.
2. Preprocessing: Handle missing values, encode gender, scale height.
3. Data Splitting: Split into 80% training, 20% testing.
4. ML Model: [Specify model, e.g., Linear Regression].
5. Training: Train model on training data.
6. Testing: Predict on new test data.
7. Accuracy: Evaluate using MAE, MSE, or R² score.