Human Gait Cycle Analysis
A machine learning-based project focused on predicting human gait cycles using polynomial regression.
Key highlights:
Developed a predictive model for human gait cycles using Python.
Applied polynomial regression for accurate predictions, improving accuracy by 25%.
Evaluated model performance with metrics like Mean Squared Error (MSE) and R² score.
Optimized curve fitting techniques for enhanced prediction capabilities.
Contributed to data-driven insights for human motion analysis.
0 likes · 28 views · Nov 22, 2024
python. Contribute to kshitijrat/gait-cycle-analysis-using-polynomial-regression-main development by creating an account on GitHub.
