📏 Height Prediction using Decision Tree Regressor | Streamlit Web App 🚀 Predict human height based on age using Machine Learning. Upload datasets, train models instantly, visualize predictions, and evaluate performance with RMSE & R² score. Built with Python, Scikit-learn & Streamlit.

Predict children’s height using parents’ heights, gender, and number of siblings with a linear regression model. Includes data preprocessing, model training, and prediction on a modified Galton Height dataset. Ideal for learning basic regression workflows in Python and scikit-learn.

An introduction to JAX for machine learning.

台灣兒童成長小幫手 v3.0：由仨寶爸中醫博士吳啓銘開發。基於WHO標準，整合衛福部本土生長數據、BMI 判定與 Bayley-Pinneau 骨齡預估模型。提供遺傳身高 (TH) 與發育偏差預警，掌握發育黃金期。

preHeight is a R package that predicts the height of people with desired school-age in desired country based on training a neural network model.