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| Archived
files |
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Packt Hands-on NLP with NLTK and Scikit-learn\01.Working with Natural Language Data\0101.The Course Overview.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\01.Working with Natural Language Data\0102.Use Python, NLTK, spaCy, and Scikit-learn to Build Your NLP Toolset.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\01.Working with Natural Language Data\0103.Reading a Simple Natural Language File into Memory.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\01.Working with Natural Language Data\0104.Split the Text into Individual Words with Regular Expression.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\01.Working with Natural Language Data\0105.Converting Words into Lists of Lower Case Tokens.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\01.Working with Natural Language Data\0106.Removing Uncommon Words and Stop Words.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\02.Spam Classification with an Email Dataset\0201.Use an Open Source Dataset, and What Is the Enron Dataset.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\02.Spam Classification with an Email Dataset\0202.Loading the Enron Dataset into Memory.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\02.Spam Classification with an Email Dataset\0203.Tokenization, Lemmatization, and Stop Word Removal.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\02.Spam Classification with an Email Dataset\0204.Bag-of-Words Feature Extraction Process with Scikit-learn.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\02.Spam Classification with an Email Dataset\0205.Basic Spam Classification with NLTK's Naive Bayes.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\03.Sentiment Analysis with a Movie Review Dataset\0301.Understanding the Origin and Features of the Movie Review Dataset.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\03.Sentiment Analysis with a Movie Review Dataset\0302.Loading and Cleaning the Review Data.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\03.Sentiment Analysis with a Movie Review Dataset\0303.Preprocessing the Dataset to Remove Unwanted Words and Characters.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\03.Sentiment Analysis with a Movie Review Dataset\0304.Creating TF-IDF Weighted Natural Language Features.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\03.Sentiment Analysis with a Movie Review Dataset\0305.Basic Sentiment Analysis with Logistic Regression Model.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\04.Boosting the Performance of Your Models with N-grams\0401.Deep Dive into Raw Tokens from the Movie Reviews.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\04.Boosting the Performance of Your Models with N-grams\0402.Advanced Cleaning of Tokens Using Python String Functions and Regex.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\04.Boosting the Performance of Your Models with N-grams\0403.Creating N-gram Features Using Scikit-learn.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\04.Boosting the Performance of Your Models with N-grams\0404.Experimenting with Advanced Scikit-learn Models Using the NLTK Wrapper.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\04.Boosting the Performance of Your Models with N-grams\0405.Building a Voting Model with Scikit-learn.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\05.Document Classification with a Newsgroup Dataset\0501.Understanding the Origin and Features of the 20 Newsgroups Dataset.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\05.Document Classification with a Newsgroup Dataset\0502.Loading the Newsgroup Data and Extracting Features.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\05.Document Classification with a Newsgroup Dataset\0503.Building a Document Classification Pipeline.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\05.Document Classification with a Newsgroup Dataset\0504.Creating a Performance Report of the Model on the Test Set.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\05.Document Classification with a Newsgroup Dataset\0505.Finding Optimal Hyper-parameters Using Grid Search.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\06.Advanced Topic Modelling with TF-IDF, LSA, and SVMs\0601.Building a Text Preprocessing Pipeline with NLTK.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\06.Advanced Topic Modelling with TF-IDF, LSA, and SVMs\0602.Creating Hashing Based Features from Natural Language.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\06.Advanced Topic Modelling with TF-IDF, LSA, and SVMs\0603.Classify Documents into 20 Topics with LSA.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\06.Advanced Topic Modelling with TF-IDF, LSA, and SVMs\0604.Document Classification with TF-IDF and SVMs.mp4
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Packt Hands-on NLP with NLTK and Scikit-learn\Exercise Files\exercise_files.zip |
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Packt Hands-on NLP with NLTK and Scikit-learn\01.Working with Natural Language Data |
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Packt Hands-on NLP with NLTK and Scikit-learn\02.Spam Classification with an Email Dataset |
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Packt Hands-on NLP with NLTK and Scikit-learn\03.Sentiment Analysis with a Movie Review Dataset |
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