Mechanical System Deconstruction

                                                           Mechanical learning Model  PURPOSE : To systematically deconstruct and analyse mechanical systems by examining their input output motions relationships and linkage mechanisms with the objective of identifying opportunities for innovations. KEY COMPONENTS OF MACHINE LEARNING MODEL  1. Data The backbone of ML. Can be structured (tables, numbers) or unstructured (images, text, audio). Needs to be cleaned and preprocessed before use. 2. Features (Input variables) The important characteristics or attributes taken from data. Example: In predicting house price → features could be size, location, number of rooms. 3. Model (Algorithm) The mathematical/statistical approach used to learn patterns from data. Examples: Linear Regression, Decision Trees, Neural Networks.  4. Train...