Converting from Pandas dataframe to TensorFlow tensor object

Question

I\'m still new to Python, Machine Learning and TensorFlow, but doing my best to jump right in head-first. I could use some help though.

My data is currently in a Pan

Answer 1

You can convert a the dataframe column to a tensor object like so:

tf.constant((df['column_name']))

This should return you a tensor variable which looks something like this:

Also, you can ad any number of dataframe columns as you want, like so:

tf.constant(([cdf['column1'], cdf['column2']]))

Hope this helps.