I learned : 1: Training data (data used to train a model) 2: Testing data (Unseen data used to test the model) 3: Features (Characteristics/Attributes of the data, basically the input given to the model) 4: Labels (The output of the model based on the given features) 5: Model (An equation which is obtained from the patterns in our data)

Done

testing data training data features label and models

I learned (Training data, Testing data, Features, and Models) today.

Learned training, testing, input features and lables

I learned (Training data, Testing data, Features, and Models).

I learned training data, Testing data, Features, and Models.

training data is labeled data testing data is a new set of images not seen by model features the meareable character of an objects

AOA, I learned in this lecture about four key terms of ML (training, testing, features, and models). ALLAH PAK ap ko dono jahan ki bhalaian ata kry AAMEEN.