Join the conversation
![](https://codanics.com/wp-content/uploads/2024/04/LinkedIn-profile-picture.jpg)
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)
Reply
![](https://codanics.com/wp-content/uploads/2024/04/IMG_20240410_175137-1-scaled.jpg)
Done
Reply
![](https://codanics.com/wp-content/uploads/2023/09/WhatsApp-Image-2023-07-29-at-4.53.31-PM.jpeg)
testing data training data features label and models
Reply
I learned (Training data, Testing data, Features, and Models) today.
Reply
![](https://codanics.com/wp-content/uploads/2024/02/2.jpg)
Learned training, testing, input features and lables
Reply
![](https://codanics.com/wp-content/uploads/2023/10/e24e3cc0-f9cd-49cc-9e5e-e7fea619bd42.jpg)
I learned (Training data, Testing data, Features, and Models).
Reply
![](https://codanics.com/wp-content/uploads/2024/05/My_profile_pic.jpg)
I learned training data, Testing data, Features, and Models.
Reply
![](https://codanics.com/wp-content/uploads/2023/10/x8h6vl_1.jpg)
training data is labeled data
testing data is a new set of images not seen by model
features the meareable character of an objects
Reply
![](https://codanics.com/wp-content/uploads/2023/10/9dd24f5a-b137-440a-baba-1855925152a0.jpg)
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.
Reply