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README.txt

README.txt

 
 

Report-AbhinavMittra.pdf

Report-AbhinavMittra.pdf

 
 

boost.py

boost.py

 
 

dataset.csv

dataset.csv

 
 

lstm.py

lstm.py

 
 

lstmweightsnew.h5

lstmweightsnew.h5

 
 

preprocess.py

preprocess.py

 
 

processed.csv

processed.csv

 
 

requirements.txt

requirements.txt

 
 

scrape1.py

scrape1.py

 
 

scrape2.py

scrape2.py

 
 

scrape3.py

scrape3.py

 
 

svc.py

svc.py

 
 

youtube_videos.py

youtube_videos.py

 
 

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1.) Run scrape2.py/scrape1.py to try my web scraping script. (Optional)
2.) Preprocess.py can be run to convert dataset.csv for text cleaning and transform it into processed.csv.
3.) Run lstm.py,svc.py,boost.py which contain the 3 classifiers to cross check my results provided.


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Built 3 model's to classify videos on the basis of the description and titles.

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