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A Complete Natural Language Processing Beginner Masterclassâ„¢
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[TutsNode.com] - A Complete Natural Language Processing Beginner Masterclass (Size: 5.56 GB) (Files: 223)
[TutsNode.com] - A Complete Natural Language Processing Beginner Masterclass
08 Text Preprocessing_ Detailed Step-By-Step Practical Examples
045 Part 8_ Clean Tweets In Dataset.mp4
037 Introducing The Project_ Preprocessing Tweets.en.srt
037 Introducing The Project_ Preprocessing Tweets.mp4
038 Coachella-E5-2-DFE.csv
038 coachella-tweets.ipynb
038 coachella-tweetsComplete.ipynb
038 Part 1_ Preprocess Tweets Practical_ Load & Examine Dataset.en.srt
038 Part 1_ Preprocess Tweets Practical_ Load & Examine Dataset.mp4
039 Part 2_ Extract Hashtags - Preprocess Tweets Practical.en.srt
039 Part 2_ Extract Hashtags - Preprocess Tweets Practical.mp4
040 Part 3_ Remove Usernames, Links, Non-ASCII & Use lower() - Tweets Practical.en.srt
040 Part 3_ Remove Usernames, Links, Non-ASCII & Use lower() - Tweets Practical.mp4
041 Part 4_ Try Non-ASCII & Lower Case Functions on Sample Text.en.srt
041 Part 4_ Try Non-ASCII & Lower Case Functions on Sample Text.mp4
042 Part 5_ Stopwords Removal.en.srt
042 Part 5_ Stopwords Removal.mp4
043 Part 6_ Remove Email Addresses.en.srt
043 Part 6_ Remove Email Addresses.mp4
044 Part 7_ Remove Digits & Special Characters.en.srt
044 Part 7_ Remove Digits & Special Characters.mp4
045 Part 8_ Clean Tweets In Dataset.en.srt
01 Introduction
001 Introduction.en.srt
001 Introduction.mp4
02 Intro_ NLP, Data Science & Machine Learning - Are they different_
002 Introducing NLP.en.srt
002 Introducing NLP.mp4
003 Data Science In The Real World_ Part 1.en.srt
003 Data Science In The Real World_ Part 1.mp4
004 Data Science In The Real World_ Part 2.en.srt
004 Data Science In The Real World_ Part 2.mp4
005 NLP In The Real World.en.srt
005 NLP In The Real World.mp4
03 NLP Pipeline _Must Watch Section
006 An Overview of NLP Methods.en.srt
006 An Overview of NLP Methods.mp4
006 NLP-pipelineSLides.pdf
006 NLP-Pipleline-NSS.mp4
007 Text Preprocessing.en.srt
007 Text Preprocessing.mp4
008 Text Normalization.en.srt
008 Text Normalization.mp4
009 Word Embeddings.en.srt
009 Word Embeddings.mp4
010 Build a Model, Transfer Learning, Testing & Evaluating a Model.en.srt
010 Build a Model, Transfer Learning, Testing & Evaluating a Model.mp4
04 Why Learn Python for NLP & Data Science_
011 Top Programming Languages Used In Industry 2020.en.srt
011 Top Programming Languages Used In Industry 2020.mp4
012 Top Programming Languages Used In Industry 2020 Part 2_ PHP.en.srt
012 Top Programming Languages Used In Industry 2020 Part 2_ PHP.mp4
013 Python in Industry 2020.en.srt
013 Python in Industry 2020.mp4
014 Python vs R For Data Science & NLP.en.srt
014 Python vs R For Data Science & NLP.mp4
05 Google Colab - Setting Up
015 Open A New Colab Notebook.en.srt
015 Open A New Colab Notebook.mp4
016 Open .IPYNB Files in Google Colab & Find The Resource Folders For This Course.en.srt
016 Open .IPYNB Files in Google Colab & Find The Resource Folders For This Course.mp4
06 Tokenization & Regular Expressions
017 What is Tokenization_ Introduction to the Linguistic theory for tokenization.en.srt
017 What is Tokenization_ Introduction to the Linguistic theory for tokenization.mp4
018 Linguistic theory for Word Segmentation.en.srt
018 Linguistic theory for Word Segmentation.mp4
019 How To Open The .IPYNB file For The Next Lecture (Optional).en.srt
019 How To Open The .IPYNB file For The Next Lecture (Optional).mp4
020 Codealong-TokenizationNLTK.ipynb
020 Tokenization with NLTK.en.srt
020 Tokenization with NLTK.mp4
020 TokenizationNLTK-complete.ipynb
021 Introducing Regular Expressions.en.srt
021 Introducing Regular Expressions.mp4
022 Word Segmentation using Python's .split().en.srt
022 Word Segmentation using Python's .split().mp4
023 Sentence Segmentation using Python's .split.en.srt
023 Sentence Segmentation using Python's .split.mp4
024 Codealong-ReGex.ipynb
024 ReGex Split Method re.split() Regular Expressions.en.srt
024 ReGex Split Method re.split() Regular Expressions.mp4
025 Regex Substitute Method re.sub Regular Expressions.en.srt
025 Regex Substitute Method re.sub Regular Expressions.mp4
026 Search Method using Regex re.search _ Regular Expressions.en.srt
026 Search Method using Regex re.search _ Regular Expressions.mp4
027 Part 1_ Find All Emails in Contact Details _ Regular Expressions re.findall().en.srt
027 Part 1_ Find All Emails in Contact Details _ Regular Expressions re.findall().mp4
028 Codealong-ReGex-Complete.ipynb
028 Part 2_ Find All Emails in Contact Details _ Regular Expressions re.findall().en.srt
028 Part 2_ Find All Emails in Contact Details _ Regular Expressions re.findall().mp4
07 Stemming & Lemmatization
029 What is a Stemming_.en.srt
029 What is a Stemming_.mp4
030 Stemming with 3 NLTK Methods - Practical.en.srt
030 Stemming with 3 NLTK Methods - Practical.mp4
030 stemming-lemma-complete.ipynb
030 stemming-lemma.ipynb
031 Comparing Stemming Methods_ Porter, Lancaster & Snowball.en.srt
031 Comparing Stemming Methods_ Porter, Lancaster & Snowball.mp4
032 What is Lemmatization_.en.srt
032 What is Lemmatization_.mp4
033 Lemmatization with NLTK - Practical.en.srt
033 Lemmatization with NLTK - Practical.mp4
033 Lemmatization.ipynb
034 Wordnet Resource.html
035 Part 2 Lemmatization with NLTK.en.srt
035 Part 2 Lemmatization with NLTK.mp4
036 Part-of-Speech & Lemmatization Precision.en.srt
036 Part-of-Speech & Lemmatization Precision.mp4
09 Text Classification Used For Sentiment Analysis
046 classification-steamreviews.ipynb
046 Part 1 _ Steam Game Reviews Project _ Classifier for Sentiment Analysis.en.srt
046 Part 1 _ Steam Game Reviews Project _ Classifier for Sentiment Analysis.mp4
046 steamreviews.zip
047 Part 2_ Steam Game Reviews Classifier _ Explore Dataset.en.srt
047 Part 2_ Steam Game Reviews Classifier _ Explore Dataset.mp4
048 Part 3_ Build Classifier _ Steam Game Reviews.en.srt
048 Part 3_ Build Classifier _ Steam Game Reviews.mp4
049 Part 4 _ Split & Format Training Data _ Steam Game Reviews _.en.srt
049 Part 4 _ Split & Format Training Data _ Steam Game Reviews _.mp4
050 Part 5 _ Prepare Training Data _ Steam Game Reviews _.en.srt
050 Part 5 _ Prepare Training Data _ Steam Game Reviews _.mp4
051 Part 6 _ Train the Model _ Steam Game Reviews _.en.srt
051 Part 6 _ Train the Model _ Steam Game Reviews _.mp4
052 Part 7_ Testing the Model _ Steam Game Reviews.en.srt
052 Part 7_ Testing the Model _ Steam Game Reviews.mp4
10 Word Embedding_ Word2Vec
053 Complete-Netflix-Word2vec.ipynb
053 Netflix-Word2vec.ipynb
053 netflix.zip
053 Part 1_ Netflix Recommendation Project_ Data Exploration.en.srt
053 Part 1_ Netflix Recommendation Project_ Data Exploration.mp4
054 Part 2_ Preprocessing _ Netflix Recommendation Project.en.srt
054 Part 2_ Preprocessing _ Netflix Recommendation Project.mp4
055 google-embed.rtf
055 Part 3_ Pre-trained Data _ Netflix Recommendation System.en.srt
055 Part 3_ Pre-trained Data _ Netflix Recommendation System.mp4
056 Part 4_ Examine Similarities with most_similar Function.en.srt
056 Part 4_ Examine Similarities with most_similar Function.mp4
057 Part 5_ Write Vectorize() Function _ Netflix Recommendation System.en.srt
057 Part 5_ Write Vectorize() Function _ Netflix Recommendation System.mp4
058 Part 6_ Make function to Get Most Similar Shows _ Netflix Recommendation Project.en.srt
058 Part 6_ Make function to Get Most Similar Shows _ Netflix Recommendation Project.mp4
059 Part 7_ Sorted() Function.en.srt
059 Part 7_ Sorted() Function.mp4
060 Part 8_ Final Recommendation Output.en.srt
060 Part 8_ Final Recommendation Output.mp4
11 Topic Modelling_ NMF with Sklearn
061 BBC News NMF Part 1_ Explore Dataset.en.srt
061 BBC News NMF Part 1_ Explore Dataset.mp4
061 BBC-08-APR-17-to-08-JUN-E7.csv
061 topicmodel-nmf-bbc.ipynb
062 BBC News NMF Part 2_ Preprocessing.en.srt
062 BBC News NMF Part 2_ Preprocessing.mp4
063 BBC News NMF Part 3_ Extract Topics.en.srt
063 BBC News NMF Part 3_ Extract Topics.mp4
064 BBC News NMF Part 4_ Assign Topics.en.srt
064 BBC News NMF Part 4_ Assign Topics.mp4
065 BBC News NMF Part 5_ Create Filtered Dataset, With Only The Articles Needed.en.srt
065 BBC News NMF Part 5_ Create Filtered Dataset, With Only The Articles Needed.mp4
066 BBC News NMF Part 6_ Wordcloud With Filtered Articles.en.srt
066 BBC News NMF Part 6_ Wordcloud With Filtered Articles.mp4
066 India-News.zip
066 indiatimes.jpg
12 Deep Learning & Neural Networks Explained
067 Neural Networks Overview.en.srt
067 Neural Networks Overview.mp4
068 Machine Learning Overview.en.srt
068 Machine Learning Overview.mp4
069 Neural Networks Explained.en.srt
069 Neural Networks Explained.mp4
070 Forward Propagation.en.srt
070 Forward Propagation.mp4
071 Activation Functions.en.srt
071 Activation Functions.mp4
072 Model Training_ Part 1 - Loss Functions.en.srt
072 Model Training_ Part 1 - Loss Functions.mp4
073 Model Training_ Part 2 - Backpropagation.en.srt
073 Model Training_ Part 2 - Backpropagation.mp4
074 Learning Rates_ With Explained Example.en.srt
074 Learning Rates_ With Explained Example.mp4
075 Model Testing_ Overfitting.en.srt
075 Model Testing_ Overfitting.mp4
076 Iterations of The Model.en.srt
076 Iterations of The Model.mp4
077 Evaluating A Model.en.srt
077 Evaluating A Model.mp4
078 Overview For Getting Good Model Performance.en.srt
078 Overview For Getting Good Model Performance.mp4
13 Rule-Based Chatbot for Banking Customer Service
079 Chatbot #1_ Part1 - Rule-Based For Hard-Coded Exact Matching.en.srt
079 Chatbot #1_ Part1 - Rule-Based For Hard-Coded Exact Matching.mp4
079 chatbot-rule.ipynb
080 Chatbot #1_ Part 2 - Rule-Based For Hard-Coded Exact Matching.en.srt
080 Chatbot #1_ Part 2 - Rule-Based For Hard-Coded Exact Matching.mp4
080 chatbot-rule-complete.ipynb
081 Chatbot #2_ Rule-Based Using Keywords.en.srt
081 Chatbot #2_ Rule-Based Using Keywords.mp4
081 chatbot-rule-complete2.ipynb
081 chatbot-rule.ipynb
14 Deep Learning_ Build LSTM Model for Fake News Detection
082 Fake-News-Detector-LSTM-Complete.ipynb
082 Fake-News-Detector-LSTM.ipynb
082 FakeNews LSTM Part 1_ Import Libraries, Load Dataset.en.srt
082 FakeNews LSTM Part 1_ Import Libraries, Load Dataset.mp4
082 fakenews.zip
083 FakeNews LSTM Part 2_ Remove Null Values.en.srt
083 FakeNews LSTM Part 2_ Remove Null Values.mp4
084 FakeNews LSTM Part3_ Preprocess Data.en.srt
084 FakeNews LSTM Part3_ Preprocess Data.mp4
15 Speech Recognition Practical
085 Jetsons Cartoon, Google Assistant_ NLP & Sound Recognition.en.srt
085 Jetsons Cartoon, Google Assistant_ NLP & Sound Recognition.mp4
086 audio-text.ipynb
086 Convert Speech to Text - Load Resource File.en.srt
086 Convert Speech to Text - Load Resource File.mp4
086 Merry-Christmas-SoundBible.com-1120316507.wav
087 Part 1_ Convert Speech to Text.en.srt
087 Part 1_ Convert Speech to Text.mp4
088 Part2_ Recognise Speech & Convert to Text.en.srt
088 Part2_ Recognise Speech & Convert to Text.mp4
16 Python Crash Course_ A Beginner's Guide
089 Why Python for Data Science_.en.srt
089 Why Python for Data Science_.mp4
090 Python-Crash-Course.ipynb
090 Python_ Variables.en.srt
090 Python_ Variables.mp4
091 Python_ Lists & Dictionaries.en.srt
091 Python_ Lists & Dictionaries.mp4
092 Python_ Conditionals.en.srt
092 Python_ Conditionals.mp4
093 Python_ Loops.en.srt
093 Python_ Loops.mp4
094 Python_ Functions.en.srt
094 Python_ Functions.mp4
095 Python_ Classes.en.srt
095 Python_ Classes.mp4
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