|
RAR-files |
| linkedin.learning.hands-on.natural.language.processing-xqzt.rar |
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1E0512F2 |
| linkedin.learning.hands-on.natural.language.processing-xqzt.r00 |
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| linkedin.learning.hands-on.natural.language.processing-xqzt.r01 |
47,575,673 |
4029A0A4 |
|
| Total size: |
147,575,673 |
|
|
| Archived
files |
|
01.01-gain_insights_from_unstructured_text_data.mkv
[de2e05cafddeaf89]
|
3,788,996 |
731C39F2 |
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01.02-what_you_should_know.mkv
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|
517,934 |
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|
01.03-exercise_files.mkv
[95a40c35289562f8]
|
2,667,266 |
FB6ADA1B |
|
02.01-what_is_named_entity_recognition_(ner).mkv
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|
6,364,803 |
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|
02.02-ner_with_spacy.mkv
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|
8,226,074 |
13B1F691 |
|
02.03-data_preprocessing_for_custom_ner.mkv
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|
10,844,615 |
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02.04-custom_model_training_with_spacy.mkv
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10,372,856 |
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03.01-introduction_to_topic_modeling.mkv
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|
6,114,231 |
1CFE8C41 |
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03.02-data_preprocessing_for_topic_modeling.mkv
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|
14,958,384 |
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03.03-topic_modeling_with_gensim.mkv
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|
17,664,702 |
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|
03.04-topic_modeling_visualization_with_pyldavis.mkv
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8,595,004 |
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03.05-model_evaluation_for_topic_modeling.mkv
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|
4,797,552 |
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|
04.01-what_is_text_summarization.mkv
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|
4,957,029 |
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|
04.02-text_extraction_for_summarization.mkv
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12,216,153 |
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04.03-text_summarization_with_sumy.mkv
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8,484,714 |
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05.01-what_is_sentiment_analysis.mkv
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7,171,464 |
4C41CC4D |
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05.02-sentiment_analysis_with_vader.mkv
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6,958,276 |
4BB3FF4B |
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05.03-sentiment_analysis_with_transformers.mkv
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7,375,322 |
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06.01-next_steps.mkv
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921,357 |
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|
Ex_Files_Hands_On_Natural_Language_Processing.zip |
4,577,128 |
B80A0AA3 |
|
| Total size: |
147,573,860 |
|
|
