C3W2 - Issue with Exercise 4: preprocess_dataset & Exercise 5: create_model & create_mode_and_check_accuracy

[Deepti_Prasad]

Hi @mayuriroy

Please refer these threads comments, one addresses you datatype int64 issue and another addresses your shape issue

C3W2 assignment 2 Wrong output

hi @icreative Your codes are correct for fit_vectorizer, so the next place to check your codes would be train_val_dataset codes where train_dataset is recalled and used in the fit_vectorizer grade cells. So make sure first you computed the correct number of sentences (train_size) which you will use in training(the first code) where you int to the len function to the data and multiple to TRAINING SPLIT Then slice text and labels based on their position in the column Then split the sentences a…

# GRADED FUNCTION: preprocess_dataset

@mallen your fit label encoder codes are correct now for dataset, see the the image dataset given [image] here the labels and text were written separately in two dataset codes line but you need to write in one code line. another difference here in this image is they have not use the recalled function from the fit encoder label which you need to use while writing the dataset codes lambda text: mentions here first for text with it recalled function i.e. text_vectorizer and for labels with…

if you are still unable to get the explanation, then send screenshot of the grade cells you have not passed by personal DM.

Regards
DP