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The question is in the file and the data is attached The formal report has some explanation, comment code, five graphs, Jupyter notebook scripts, and a screenshot for the/show all outputs. (Comment...

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The question is in the file and the data is attached

  • The formal report has some explanation, comment code, five graphs, Jupyter notebook scripts, and a screenshot for the/show all outputs. (Comment and accuracy and model used.)


  • Please Label all graphs ( properly labeled and clear horizontal bar char, make it different graphs, like one bar chart, pie chart, plot chart, or anything ), cover legends, titles, and labels, and make it readable Comment and accuracy and model used. MAKE IT READABLE, please


nlp-using-python-r5tborzj.pdf ecommerce-iswgq45v.zip
Answered 9 days After Nov 15, 2022

Solution

Mukesh answered on Nov 19 2022
55 Votes
NLP using Python
In this project we our task is to classify labels which are household kombu, books, electronics and clothing & accessories using machine learning classifier so we will use text pre-processing techniques to pre-process our independent variable that is text
Loading the data files into data frame, removing extra columns & checking any missing value n duplicate data if any missing value find then we apply dropna() for dropping missing values from the data frame
Maximum length of the world is 50403 and the mean length of text is 700
Distribution of number of characters in description is positively skewed which is like Perito distribution which conclude that most common words...
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