Hey,
To train a model using the data you provided in MATLAB, you can follow these general steps:
- Load the Data: Load the data from the text file into MATLAB. You can use functions like load, csvread, or readtable depending on the format of your data.
- Normalize the Data: Since you mentioned normalization as a step you're interested in, you can use the 'normalize' function in MATLAB to do the same. The can access the documentaion link for this function through this link: https://www.mathworks.com/help/matlab/ref/double.normalize.html
- Choose a Model: Depending on the nature of your problem (classification, regression, etc.), choose an appropriate machine learning model to train on your data. This could be a neural network, support vector machine, decision tree, etc.
- Train the Model: MATLAB provides built-in functions for training various types of models, such as fitcknn for k-nearest neighbors, fitcsvm for support vector machines etc. Here are the detailed documenation links for the same:
