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001 Can Social Media Be Useful__ The Case of Twitter.en.srt
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001 Identify the Polarity of Text.en.srt
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001 Identify the Polarity of Text.mp4
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001 Introduction to Theory.en.srt
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001 Introduction to Theory.mp4
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001 Lets Do Dictionaries.en.srt
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001 Obtaining Tweets Without A Twitter Account.en.srt
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001 Obtaining Tweets Without A Twitter Account.mp4
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001 Tweet Lengths.en.srt
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001 Welcome to the Course.en.srt
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001 What Is Machine Learning_.en.srt
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001 What Is Machine Learning_.mp4
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001 What Is Pandas_.en.srt
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001 What is API_.en.srt
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002 Basic Data Cleaning With Pandas.en.srt
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002 Basic Data Cleaning With Pandas.mp4
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002 Data and Code.html
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002 How People Interact With Tweets.en.srt
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002 How People Interact With Tweets.mp4
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002 Lets Dip Our Toes Into Twitter.en.srt
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002 Lets Dip Our Toes Into Twitter.mp4
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002 Lets Start Cleaning The Text.en.srt
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002 Lets Start Cleaning The Text.mp4
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002 Polarity_ Positive or Negative.en.srt
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002 Preprocessing-Toy Example.en.srt
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002 Set up the FourSquare App.en.srt
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002 Using APIs_ Singapore MRT Stations.en.srt
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003 A Simple Machine Learning Model on Textual Data.en.srt
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003 Basics of Data Visualization.en.srt
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003 Dealing With Dates.en.srt
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003 Final Cleaned Text.en.srt
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003 Get Elon Musk's Tweet.en.srt
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003 Get Elon Musk's Tweet.mp4
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003 Obtain Financial News Headlines.en.srt
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003 Obtain Financial News Headlines.mp4
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003 Of Mentions and Hashtags.en.srt
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003 Python Installation.en.srt
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004 A Function For Text Cleaning.en.srt
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004 Identify The Most Popular Hashtags.en.srt
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004 Introduction to VADER Sentiment Analysis.en.srt
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004 Introduction to VADER Sentiment Analysis.mp4
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004 Obtain The Most Popular Tweets of a User.en.srt
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004 Obtaining Textual Data From Reddit.en.srt
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004 Predicting Stock Price Movements Based On Newspaper Headlines.en.srt
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004 What Is Google CoLab_.en.srt
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005 Google Colabs and GPU.en.srt
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005 Identify the Most Common Usernames.en.srt
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005 Identify the Most Common Usernames.mp4
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005 More Text Cleaning.en.srt
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005 Obtain Tweets For A User Between A Certain Date.en.srt
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005 Unsupervised Learning With K-Means Algorithm.en.srt
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005 VADER Sentiment Analysis For Text Analysis.en.srt
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006 Google Colab Packages.en.srt
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006 Identifying Textual Clusters With K-means.en.srt
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006 Look With For With a Specific Term.en.srt
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006 NTLK Cleaning.en.vtt
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006 VADER Sentiment For Financial News.en.srt
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006 What Are Wordclouds_.en.srt
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007 Another NTLK-Based Workflow.en.srt
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007 Basic Wordcloud-Install.en.srt
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007 Basic Wordcloud-Install.mp4
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007 DBSCAN Based Textual Clustering.en.srt
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007 DBSCAN Based Textual Clustering.mp4
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007 Elon Musk's Bitcoin Tweets.en.srt
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007 Visualise the Sentiments.en.srt
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008 A Basic Wordcloud.en.srt
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008 A Basic Wordcloud.mp4
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008 Classify the Tweet Sentiment-GBM.en.srt
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008 Classify the Tweet Sentiment-GBM.mp4
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008 Tweets From a Location.en.srt
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009 Keras Installation-Windows.en.srt
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009 Tweets From Multiple Locations.en.srt
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009 Word Count of Common Words.en.srt
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010 Keras Installation-Mac.en.srt
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010 N-Grams.en.srt
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010 N-Grams.mp4
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010 Tweets From Multiple Locations and Multiple Terms.en.srt
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010 Tweets From Multiple Locations and Multiple Terms.mp4
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011 Another Way of Obtaining Tweets.en.srt
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011 Another Way of Obtaining Tweets.mp4
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011 Long short-term memory (LSTM)_ Theory.en.srt
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011 Long short-term memory (LSTM)_ Theory.mp4
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011 Network of Bigrams.en.srt
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012 Brief Lowdown on Word Embeddings.en.srt
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012 Brief Lowdown on Word Embeddings.mp4
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012 More Snscrape Tweets.en.srt
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012 Topic Modelling With Gensim.en.srt
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012 Topic Modelling With Gensim.mp4
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013 LSTM For Classifying Tweet Sentiment-1.en.srt
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013 LSTM For Classifying Tweet Sentiment-1.mp4
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Bonus Resources.txt
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Get Bonus Downloads Here.url
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URL
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204.8 B
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