Download A Complete Natural Language Processing Beginner Masterclass Torrent

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A Complete Natural Language Processing Beginner Masterclass

TutsNode.com.txt

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[TutsNode.com] - A Complete Natural Language Processing Beginner Masterclass

01 Introduction

	001 Introduction.en.srt	SRT	2.64 KB
	001 Introduction.mp4	MP4	38.35 MB

02 Intro_ NLP, Data Science & Machine Learning - Are they different_

002 Introducing NLP.en.srt	SRT	4.9 KB
002 Introducing NLP.mp4	MP4	55.55 MB
003 Data Science In The Real World_ Part 1.en.srt	SRT	4.93 KB
003 Data Science In The Real World_ Part 1.mp4	MP4	41.57 MB
004 Data Science In The Real World_ Part 2.en.srt	SRT	3.61 KB
004 Data Science In The Real World_ Part 2.mp4	MP4	31.48 MB
005 NLP In The Real World.en.srt	SRT	7.79 KB
005 NLP In The Real World.mp4	MP4	79.39 MB

03 NLP Pipeline _Must Watch Section

006 An Overview of NLP Methods.en.srt	SRT	4.97 KB
006 An Overview of NLP Methods.mp4	MP4	34.09 MB
006 NLP-Pipleline-NSS.mp4	MP4	2.43 MB
006 NLP-pipelineSLides.pdf	PDF	7.55 MB
007 Text Preprocessing.en.srt	SRT	8.54 KB
007 Text Preprocessing.mp4	MP4	73.78 MB
008 Text Normalization.en.srt	SRT	1.26 KB
008 Text Normalization.mp4	MP4	11.6 MB
009 Word Embeddings.en.srt	SRT	10.71 KB
009 Word Embeddings.mp4	MP4	98.44 MB
010 Build a Model, Transfer Learning, Testing & Evaluating a Model.en.srt	SRT	11.13 KB
010 Build a Model, Transfer Learning, Testing & Evaluating a Model.mp4	MP4	73.25 MB

04 Why Learn Python for NLP & Data Science_

011 Top Programming Languages Used In Industry 2020.en.srt	SRT	9.17 KB
011 Top Programming Languages Used In Industry 2020.mp4	MP4	82.14 MB
012 Top Programming Languages Used In Industry 2020 Part 2_ PHP.en.srt	SRT	1.86 KB
012 Top Programming Languages Used In Industry 2020 Part 2_ PHP.mp4	MP4	16.52 MB
013 Python in Industry 2020.en.srt	SRT	4.51 KB
013 Python in Industry 2020.mp4	MP4	42.38 MB
014 Python vs R For Data Science & NLP.en.srt	SRT	5.46 KB
014 Python vs R For Data Science & NLP.mp4	MP4	47.69 MB

05 Google Colab - Setting Up

015 Open A New Colab Notebook.en.srt	SRT	1.38 KB
015 Open A New Colab Notebook.mp4	MP4	15.12 MB
016 Open .IPYNB Files in Google Colab & Find The Resource Folders For This Course.en.srt	SRT	2.55 KB
016 Open .IPYNB Files in Google Colab & Find The Resource Folders For This Course.mp4	MP4	20.53 MB

06 Tokenization & Regular Expressions

017 What is Tokenization_ Introduction to the Linguistic theory for tokenization.en.srt	SRT	2.33 KB
017 What is Tokenization_ Introduction to the Linguistic theory for tokenization.mp4	MP4	10.82 MB
018 Linguistic theory for Word Segmentation.en.srt	SRT	3.42 KB
018 Linguistic theory for Word Segmentation.mp4	MP4	14.45 MB
019 How To Open The .IPYNB file For The Next Lecture (Optional).en.srt	SRT	2.55 KB
019 How To Open The .IPYNB file For The Next Lecture (Optional).mp4	MP4	20.5 MB
020 Codealong-TokenizationNLTK.ipynb	IPYNB	2.59 KB
020 Tokenization with NLTK.en.srt	SRT	6.17 KB
020 Tokenization with NLTK.mp4	MP4	36.36 MB
020 TokenizationNLTK-complete.ipynb	IPYNB	4.7 KB
021 Introducing Regular Expressions.en.srt	SRT	4.4 KB
021 Introducing Regular Expressions.mp4	MP4	19.87 MB
022 Word Segmentation using Python's .split().en.srt	SRT	3.12 KB
022 Word Segmentation using Python's .split().mp4	MP4	19.56 MB
023 Sentence Segmentation using Python's .split.en.srt	SRT	4.46 KB
023 Sentence Segmentation using Python's .split.mp4	MP4	28.62 MB
024 Codealong-ReGex.ipynb	IPYNB	6.04 KB
024 ReGex Split Method re.split() Regular Expressions.en.srt	SRT	4.25 KB
024 ReGex Split Method re.split() Regular Expressions.mp4	MP4	32.85 MB
025 Regex Substitute Method re.sub Regular Expressions.en.srt	SRT	6.12 KB
025 Regex Substitute Method re.sub Regular Expressions.mp4	MP4	38.17 MB
026 Search Method using Regex re.search _ Regular Expressions.en.srt	SRT	5.97 KB
026 Search Method using Regex re.search _ Regular Expressions.mp4	MP4	43.3 MB
027 Part 1_ Find All Emails in Contact Details _ Regular Expressions re.findall().en.srt	SRT	6.09 KB
027 Part 1_ Find All Emails in Contact Details _ Regular Expressions re.findall().mp4	MP4	46.17 MB
028 Codealong-ReGex-Complete.ipynb	IPYNB	9.71 KB
028 Part 2_ Find All Emails in Contact Details _ Regular Expressions re.findall().en.srt	SRT	6.38 KB
028 Part 2_ Find All Emails in Contact Details _ Regular Expressions re.findall().mp4	MP4	43.04 MB

07 Stemming & Lemmatization

029 What is a Stemming_.en.srt	SRT	6.51 KB
029 What is a Stemming_.mp4	MP4	31.91 MB
030 Stemming with 3 NLTK Methods - Practical.en.srt	SRT	14.43 KB
030 Stemming with 3 NLTK Methods - Practical.mp4	MP4	92.27 MB
030 stemming-lemma-complete.ipynb	IPYNB	9.85 KB
030 stemming-lemma.ipynb	IPYNB	5.47 KB
031 Comparing Stemming Methods_ Porter, Lancaster & Snowball.en.srt	SRT	14.04 KB
031 Comparing Stemming Methods_ Porter, Lancaster & Snowball.mp4	MP4	62.94 MB
032 What is Lemmatization_.en.srt	SRT	11.55 KB
032 What is Lemmatization_.mp4	MP4	57.51 MB
033 Lemmatization with NLTK - Practical.en.srt	SRT	9.44 KB
033 Lemmatization with NLTK - Practical.mp4	MP4	58.27 MB
033 Lemmatization.ipynb	IPYNB	7.14 KB
034 Wordnet Resource.html	HTML	1.34 KB
035 Part 2 Lemmatization with NLTK.en.srt	SRT	7.85 KB
035 Part 2 Lemmatization with NLTK.mp4	MP4	49.23 MB
036 Part-of-Speech & Lemmatization Precision.en.srt	SRT	14.45 KB
036 Part-of-Speech & Lemmatization Precision.mp4	MP4	108.32 MB

08 Text Preprocessing_ Detailed Step-By-Step Practical Examples

037 Introducing The Project_ Preprocessing Tweets.en.srt	SRT	8.88 KB
037 Introducing The Project_ Preprocessing Tweets.mp4	MP4	69.18 MB
038 Coachella-E5-2-DFE.csv	CSV	640.81 KB
038 Part 1_ Preprocess Tweets Practical_ Load & Examine Dataset.en.srt	SRT	15.24 KB
038 Part 1_ Preprocess Tweets Practical_ Load & Examine Dataset.mp4	MP4	132.97 MB
038 coachella-tweets.ipynb	IPYNB	256.63 KB
038 coachella-tweetsComplete.ipynb	IPYNB	282.25 KB
039 Part 2_ Extract Hashtags - Preprocess Tweets Practical.en.srt	SRT	5.35 KB
039 Part 2_ Extract Hashtags - Preprocess Tweets Practical.mp4	MP4	43.61 MB
040 Part 3_ Remove Usernames, Links, Non-ASCII & Use lower() - Tweets Practical.en.srt	SRT	12.06 KB
040 Part 3_ Remove Usernames, Links, Non-ASCII & Use lower() - Tweets Practical.mp4	MP4	92.06 MB
041 Part 4_ Try Non-ASCII & Lower Case Functions on Sample Text.en.srt	SRT	4.1 KB
041 Part 4_ Try Non-ASCII & Lower Case Functions on Sample Text.mp4	MP4	23.41 MB
042 Part 5_ Stopwords Removal.en.srt	SRT	10.87 KB
042 Part 5_ Stopwords Removal.mp4	MP4	45.29 MB
043 Part 6_ Remove Email Addresses.en.srt	SRT	5.69 KB
043 Part 6_ Remove Email Addresses.mp4	MP4	33.08 MB
044 Part 7_ Remove Digits & Special Characters.en.srt	SRT	12.64 KB
044 Part 7_ Remove Digits & Special Characters.mp4	MP4	57.33 MB
045 Part 8_ Clean Tweets In Dataset.en.srt	SRT	33.03 KB
045 Part 8_ Clean Tweets In Dataset.mp4	MP4	233.94 MB

09 Text Classification Used For Sentiment Analysis

046 Part 1 _ Steam Game Reviews Project _ Classifier for Sentiment Analysis.en.srt	SRT	8.72 KB
046 Part 1 _ Steam Game Reviews Project _ Classifier for Sentiment Analysis.mp4	MP4	42.64 MB
046 classification-steamreviews.ipynb	IPYNB	547.55 KB
046 steamreviews.zip	ZIP	4.99 MB
047 Part 2_ Steam Game Reviews Classifier _ Explore Dataset.en.srt	SRT	15.48 KB
047 Part 2_ Steam Game Reviews Classifier _ Explore Dataset.mp4	MP4	119.94 MB
048 Part 3_ Build Classifier _ Steam Game Reviews.en.srt	SRT	7.25 KB
048 Part 3_ Build Classifier _ Steam Game Reviews.mp4	MP4	73.37 MB
049 Part 4 _ Split & Format Training Data _ Steam Game Reviews _.en.srt	SRT	14.66 KB
049 Part 4 _ Split & Format Training Data _ Steam Game Reviews _.mp4	MP4	141.48 MB
050 Part 5 _ Prepare Training Data _ Steam Game Reviews _.en.srt	SRT	6.14 KB
050 Part 5 _ Prepare Training Data _ Steam Game Reviews _.mp4	MP4	52.33 MB
051 Part 6 _ Train the Model _ Steam Game Reviews _.en.srt	SRT	8.08 KB
051 Part 6 _ Train the Model _ Steam Game Reviews _.mp4	MP4	77.55 MB
052 Part 7_ Testing the Model _ Steam Game Reviews.en.srt	SRT	12.55 KB
052 Part 7_ Testing the Model _ Steam Game Reviews.mp4	MP4	67.75 MB

10 Word Embedding_ Word2Vec

053 Complete-Netflix-Word2vec.ipynb	IPYNB	72.63 KB
053 Netflix-Word2vec.ipynb	IPYNB	14.56 KB
053 Part 1_ Netflix Recommendation Project_ Data Exploration.en.srt	SRT	21.97 KB
053 Part 1_ Netflix Recommendation Project_ Data Exploration.mp4	MP4	163.23 MB
053 netflix.zip	ZIP	970.64 KB
054 Part 2_ Preprocessing _ Netflix Recommendation Project.en.srt	SRT	11.15 KB
054 Part 2_ Preprocessing _ Netflix Recommendation Project.mp4	MP4	107.82 MB
055 Part 3_ Pre-trained Data _ Netflix Recommendation System.en.srt	SRT	12.87 KB
055 Part 3_ Pre-trained Data _ Netflix Recommendation System.mp4	MP4	125.02 MB
055 google-embed.rtf	RTF	732 B
056 Part 4_ Examine Similarities with most_similar Function.en.srt	SRT	6.11 KB
056 Part 4_ Examine Similarities with most_similar Function.mp4	MP4	53.29 MB
057 Part 5_ Write Vectorize() Function _ Netflix Recommendation System.en.srt	SRT	5.01 KB
057 Part 5_ Write Vectorize() Function _ Netflix Recommendation System.mp4	MP4	47.52 MB
058 Part 6_ Make function to Get Most Similar Shows _ Netflix Recommendation Project.en.srt	SRT	7.42 KB
058 Part 6_ Make function to Get Most Similar Shows _ Netflix Recommendation Project.mp4	MP4	71.17 MB
059 Part 7_ Sorted() Function.en.srt	SRT	7.36 KB
059 Part 7_ Sorted() Function.mp4	MP4	48.89 MB
060 Part 8_ Final Recommendation Output.en.srt	SRT	10.01 KB
060 Part 8_ Final Recommendation Output.mp4	MP4	59.77 MB

11 Topic Modelling_ NMF with Sklearn

061 BBC News NMF Part 1_ Explore Dataset.en.srt	SRT	17.34 KB
061 BBC News NMF Part 1_ Explore Dataset.mp4	MP4	110.75 MB
061 BBC-08-APR-17-to-08-JUN-E7.csv	CSV	2.74 MB
061 topicmodel-nmf-bbc.ipynb	IPYNB	9.8 KB
062 BBC News NMF Part 2_ Preprocessing.en.srt	SRT	5.14 KB
062 BBC News NMF Part 2_ Preprocessing.mp4	MP4	45.18 MB
063 BBC News NMF Part 3_ Extract Topics.en.srt	SRT	21.87 KB
063 BBC News NMF Part 3_ Extract Topics.mp4	MP4	181.75 MB
064 BBC News NMF Part 4_ Assign Topics.en.srt	SRT	12.22 KB
064 BBC News NMF Part 4_ Assign Topics.mp4	MP4	106.19 MB
065 BBC News NMF Part 5_ Create Filtered Dataset, With Only The Articles Needed.en.srt	SRT	12.95 KB
065 BBC News NMF Part 5_ Create Filtered Dataset, With Only The Articles Needed.mp4	MP4	97.48 MB
066 BBC News NMF Part 6_ Wordcloud With Filtered Articles.en.srt	SRT	5.32 KB
066 BBC News NMF Part 6_ Wordcloud With Filtered Articles.mp4	MP4	40.28 MB
066 India-News.zip	ZIP	77.47 MB
066 indiatimes.jpg	JPG	27.66 KB

12 Deep Learning & Neural Networks Explained

067 Neural Networks Overview.en.srt	SRT	2.26 KB
067 Neural Networks Overview.mp4	MP4	6.83 MB
068 Machine Learning Overview.en.srt	SRT	12.14 KB
068 Machine Learning Overview.mp4	MP4	43.46 MB
069 Neural Networks Explained.en.srt	SRT	5.77 KB
069 Neural Networks Explained.mp4	MP4	19.93 MB
070 Forward Propagation.en.srt	SRT	12.21 KB
070 Forward Propagation.mp4	MP4	54.44 MB
071 Activation Functions.en.srt	SRT	12.5 KB
071 Activation Functions.mp4	MP4	50.15 MB
072 Model Training_ Part 1 - Loss Functions.en.srt	SRT	12.58 KB
072 Model Training_ Part 1 - Loss Functions.mp4	MP4	49.23 MB
073 Model Training_ Part 2 - Backpropagation.en.srt	SRT	14.21 KB
073 Model Training_ Part 2 - Backpropagation.mp4	MP4	59.95 MB
074 Learning Rates_ With Explained Example.en.srt	SRT	18.84 KB
074 Learning Rates_ With Explained Example.mp4	MP4	86.19 MB
075 Model Testing_ Overfitting.en.srt	SRT	22.77 KB
075 Model Testing_ Overfitting.mp4	MP4	98.34 MB
076 Iterations of The Model.en.srt	SRT	5.24 KB
076 Iterations of The Model.mp4	MP4	21.61 MB
077 Evaluating A Model.en.srt	SRT	10.49 KB
077 Evaluating A Model.mp4	MP4	43.47 MB
078 Overview For Getting Good Model Performance.en.srt	SRT	6.31 KB
078 Overview For Getting Good Model Performance.mp4	MP4	21.72 MB

13 Rule-Based Chatbot for Banking Customer Service

079 Chatbot #1_ Part1 - Rule-Based For Hard-Coded Exact Matching.en.srt	SRT	1.73 KB
079 Chatbot #1_ Part1 - Rule-Based For Hard-Coded Exact Matching.mp4	MP4	13.77 MB
079 chatbot-rule.ipynb	IPYNB	5.28 KB
080 Chatbot #1_ Part 2 - Rule-Based For Hard-Coded Exact Matching.en.srt	SRT	11.83 KB
080 Chatbot #1_ Part 2 - Rule-Based For Hard-Coded Exact Matching.mp4	MP4	84.12 MB
080 chatbot-rule-complete.ipynb	IPYNB	7.14 KB
081 Chatbot #2_ Rule-Based Using Keywords.en.srt	SRT	19.37 KB
081 Chatbot #2_ Rule-Based Using Keywords.mp4	MP4	148.47 MB
081 chatbot-rule-complete2.ipynb	IPYNB	9.38 KB
081 chatbot-rule.ipynb	IPYNB	5.28 KB

14 Deep Learning_ Build LSTM Model for Fake News Detection

082 Fake-News-Detector-LSTM-Complete.ipynb	IPYNB	53.93 KB
082 Fake-News-Detector-LSTM.ipynb	IPYNB	13.31 KB
082 FakeNews LSTM Part 1_ Import Libraries, Load Dataset.en.srt	SRT	4.19 KB
082 FakeNews LSTM Part 1_ Import Libraries, Load Dataset.mp4	MP4	34.07 MB
082 fakenews.zip	ZIP	37.04 MB
083 FakeNews LSTM Part 2_ Remove Null Values.en.srt	SRT	7.21 KB
083 FakeNews LSTM Part 2_ Remove Null Values.mp4	MP4	63.79 MB
084 FakeNews LSTM Part3_ Preprocess Data.en.srt	SRT	9.91 KB
084 FakeNews LSTM Part3_ Preprocess Data.mp4	MP4	90.94 MB

15 Speech Recognition Practical

085 Jetsons Cartoon, Google Assistant_ NLP & Sound Recognition.en.srt	SRT	6.37 KB
085 Jetsons Cartoon, Google Assistant_ NLP & Sound Recognition.mp4	MP4	66.75 MB
086 Convert Speech to Text - Load Resource File.en.srt	SRT	1.06 KB
086 Convert Speech to Text - Load Resource File.mp4	MP4	8.04 MB
086 Merry-Christmas-SoundBible.com-1120316507.wav	WAV	861.37 KB
086 audio-text.ipynb	IPYNB	6.04 KB
087 Part 1_ Convert Speech to Text.en.srt	SRT	6.17 KB
087 Part 1_ Convert Speech to Text.mp4	MP4	55.23 MB
088 Part2_ Recognise Speech & Convert to Text.en.srt	SRT	7.16 KB
088 Part2_ Recognise Speech & Convert to Text.mp4	MP4	64.66 MB

16 Python Crash Course_ A Beginner's Guide

089 Why Python for Data Science_.en.srt	SRT	4.74 KB
089 Why Python for Data Science_.mp4	MP4	19.15 MB
090 Python-Crash-Course.ipynb	IPYNB	27.57 KB
090 Python_ Variables.en.srt	SRT	9.66 KB
090 Python_ Variables.mp4	MP4	27.14 MB
091 Python_ Lists & Dictionaries.en.srt	SRT	15.44 KB
091 Python_ Lists & Dictionaries.mp4	MP4	56.36 MB
092 Python_ Conditionals.en.srt	SRT	9.49 KB
092 Python_ Conditionals.mp4	MP4	30.53 MB
093 Python_ Loops.en.srt	SRT	11.65 KB
093 Python_ Loops.mp4	MP4	36.29 MB
094 Python_ Functions.en.srt	SRT	7.88 KB
094 Python_ Functions.mp4	MP4	22.2 MB
095 Python_ Classes.en.srt	SRT	11.47 KB
095 Python_ Classes.mp4	MP4	39.55 MB

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A Complete Natural Language Processing Beginner Masterclass

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