So, previously the professor taught us reg 5 fold cross validation like continuation class from previous and he explained how this improves the proficiency and explained how this works like this divides the whole data set into 5 parts, 4 parts into training the data and one more for the testing the data. This is generalized performance by averaging the result of five iterations and impacting the data’s overfitting.
Coming to the project, today I implemented the 3×3 correlation between all the elements and visualized using a heat map and trying to relate between the two objects, I even tried to implement the Linear function for two variables for now figuring out the slope and intercepts and later will try implementing the multilinear function.