Mar-03-2020, 03:56 PM
Hey everyone,
Getting into Tensorflow with my organization and I wanted to know if anyone has a good resource for an overview of all the methods in Tensorflow.
Also, because I'm new to machine learning, I wanted to ask that it seems like there is a pretty standard procedure for the ML process.
Steps:
1. Import data
2. Groom data
3. Create Model
4. Train Model
5. Validate Model
6. Save and continuously improve
Am I on the right track here? Are most leveraging Pandas to help import and groom data before creating their model?
Getting into Tensorflow with my organization and I wanted to know if anyone has a good resource for an overview of all the methods in Tensorflow.
Also, because I'm new to machine learning, I wanted to ask that it seems like there is a pretty standard procedure for the ML process.
Steps:
1. Import data
2. Groom data
3. Create Model
4. Train Model
5. Validate Model
6. Save and continuously improve
Am I on the right track here? Are most leveraging Pandas to help import and groom data before creating their model?