Devashish Deshpande devashishd12

## agent_experimentation.ipynb

      
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              February 8, 2024 19:16
            
              
                SQL Agent Experimentation
              
          
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## mapping.ipynb

      
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              July 14, 2017 04:17
            
              
                Mapping uri to words
              
          
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## conditional_random_fields.ipynb

      
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                / conditional_random_fields.ipynb
            
            
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              April 12, 2017 17:43
            
              
                Implementation of Linear Chain Conditional Random Fields with application to POS tagging
              
          
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## gensim_topic_modeling.ipynb

      
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              September 19, 2017 16:47
            
              
                Tutorial on creating and evaluating topic models with Gensim
              
          
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## zs_dsc.ipynb

      
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              September 3, 2016 06:07
            
              
                ZS Data Science challenge notebook
              
          
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## tcusescases.ipynb

      
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              August 21, 2016 12:09
            
              
                Notebook for topic coherence use cases blog
              
          
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## 20ng_benchmark_testing.ipynb

      
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              July 17, 2016 16:02
            
              
                Benchmark testing of the gensim topic coherence pipeline on 20NG dataset
              
          
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## movies_benchmark_testing.ipynb

      
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              July 20, 2016 16:13
            
              
                Benchmark testing of gensim coherence pipeline on the Movies dataset
              
          
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## movies_testing.ipynb

      
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              Created
              July 14, 2016 11:53
            
          
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## movies_cv.py
import re
import os

from scipy.stats import pearsonr
from datetime import datetime

from gensim.models import CoherenceModel
from gensim.corpora.dictionary import Dictionary

prefix = "/home/devashish/datasets/Movies/movie"
	import re
	import os

	from scipy.stats import pearsonr
	from datetime import datetime

	from gensim.models import CoherenceModel
	from gensim.corpora.dictionary import Dictionary

	prefix = "/home/devashish/datasets/Movies/movie"