Please help me

Question

Programming Requirements use Python as the programming language and follow the
instructions below:
A. To load the languages dataset into Python use Pandas;

B. Once the dataset is loaded, you might need to Encode the labels, i.e., each label refers to
the name of a natural language (Persian, English or German).

C. To convert textual data to matrix and vector representation use the follwoing code snippet:

from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
preprocess_pipeline = Pipeline([
('wordCount', CountVectorizer()),
('countToTfid', TfidfTransformer()),
])
language_matrix = preprocess_pipeline.fit_transform(your_dat
aframe_name)

Answer 1

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