|
/.../08 Text Preprocessing_ Detailed Step-By-Step Practical Examples/
|
|
045 Part 8_ Clean Tweets In Dataset.mp4
|
245.3 MB
|
|
037 Introducing The Project_ Preprocessing Tweets.en.srt
|
9.1 KB
|
|
037 Introducing The Project_ Preprocessing Tweets.mp4
|
72.5 MB
|
|
038 Coachella-E5-2-DFE.csv
|
656.2 KB
|
|
038 coachella-tweets.ipynb
|
262.8 KB
|
|
038 coachella-tweetsComplete.ipynb
|
289.0 KB
|
|
038 Part 1_ Preprocess Tweets Practical_ Load & Examine Dataset.en.srt
|
15.6 KB
|
|
038 Part 1_ Preprocess Tweets Practical_ Load & Examine Dataset.mp4
|
139.4 MB
|
|
039 Part 2_ Extract Hashtags - Preprocess Tweets Practical.en.srt
|
5.5 KB
|
|
039 Part 2_ Extract Hashtags - Preprocess Tweets Practical.mp4
|
45.7 MB
|
|
040 Part 3_ Remove Usernames, Links, Non-ASCII & Use lower() - Tweets Practical.en.srt
|
12.4 KB
|
|
040 Part 3_ Remove Usernames, Links, Non-ASCII & Use lower() - Tweets Practical.mp4
|
96.5 MB
|
|
041 Part 4_ Try Non-ASCII & Lower Case Functions on Sample Text.en.srt
|
4.2 KB
|
|
041 Part 4_ Try Non-ASCII & Lower Case Functions on Sample Text.mp4
|
24.5 MB
|
|
042 Part 5_ Stopwords Removal.en.srt
|
11.1 KB
|
|
042 Part 5_ Stopwords Removal.mp4
|
47.5 MB
|
|
043 Part 6_ Remove Email Addresses.en.srt
|
5.8 KB
|
|
043 Part 6_ Remove Email Addresses.mp4
|
34.7 MB
|
|
044 Part 7_ Remove Digits & Special Characters.en.srt
|
12.9 KB
|
|
044 Part 7_ Remove Digits & Special Characters.mp4
|
60.1 MB
|
|
045 Part 8_ Clean Tweets In Dataset.en.srt
|
33.8 KB
|
|
/
|
|
TutsNode.com.txt
|
0.1 KB
|
|
[TGx]Downloaded from torrentgalaxy.to .txt
|
0.6 KB
|
|
/01 Introduction/
|
|
001 Introduction.en.srt
|
2.7 KB
|
|
001 Introduction.mp4
|
40.2 MB
|
|
/.../02 Intro_ NLP, Data Science & Machine Learning - Are they different_/
|
|
002 Introducing NLP.en.srt
|
5.0 KB
|
|
002 Introducing NLP.mp4
|
58.3 MB
|
|
003 Data Science In The Real World_ Part 1.en.srt
|
5.1 KB
|
|
003 Data Science In The Real World_ Part 1.mp4
|
43.6 MB
|
|
004 Data Science In The Real World_ Part 2.en.srt
|
3.7 KB
|
|
004 Data Science In The Real World_ Part 2.mp4
|
33.0 MB
|
|
005 NLP In The Real World.en.srt
|
8.0 KB
|
|
005 NLP In The Real World.mp4
|
83.2 MB
|
|
/.../03 NLP Pipeline _Must Watch Section/
|
|
006 An Overview of NLP Methods.en.srt
|
5.1 KB
|
|
006 An Overview of NLP Methods.mp4
|
35.7 MB
|
|
006 NLP-pipelineSLides.pdf
|
7.9 MB
|
|
006 NLP-Pipleline-NSS.mp4
|
2.6 MB
|
|
007 Text Preprocessing.en.srt
|
8.7 KB
|
|
007 Text Preprocessing.mp4
|
77.4 MB
|
|
008 Text Normalization.en.srt
|
1.3 KB
|
|
008 Text Normalization.mp4
|
12.2 MB
|
|
009 Word Embeddings.en.srt
|
11.0 KB
|
|
009 Word Embeddings.mp4
|
103.2 MB
|
|
010 Build a Model, Transfer Learning, Testing & Evaluating a Model.en.srt
|
11.4 KB
|
|
010 Build a Model, Transfer Learning, Testing & Evaluating a Model.mp4
|
76.8 MB
|
|
/.../04 Why Learn Python for NLP & Data Science_/
|
|
011 Top Programming Languages Used In Industry 2020.en.srt
|
9.4 KB
|
|
011 Top Programming Languages Used In Industry 2020.mp4
|
86.1 MB
|
|
012 Top Programming Languages Used In Industry 2020 Part 2_ PHP.en.srt
|
1.9 KB
|
|
012 Top Programming Languages Used In Industry 2020 Part 2_ PHP.mp4
|
17.3 MB
|
|
013 Python in Industry 2020.en.srt
|
4.6 KB
|
|
013 Python in Industry 2020.mp4
|
44.4 MB
|
|
014 Python vs R For Data Science & NLP.en.srt
|
5.6 KB
|
|
014 Python vs R For Data Science & NLP.mp4
|
50.0 MB
|
|
/.../05 Google Colab - Setting Up/
|
|
015 Open A New Colab Notebook.en.srt
|
1.4 KB
|
|
015 Open A New Colab Notebook.mp4
|
15.9 MB
|
|
016 Open .IPYNB Files in Google Colab & Find The Resource Folders For This Course.en.srt
|
2.6 KB
|
|
016 Open .IPYNB Files in Google Colab & Find The Resource Folders For This Course.mp4
|
21.5 MB
|
|
/.../06 Tokenization & Regular Expressions/
|
|
017 What is Tokenization_ Introduction to the Linguistic theory for tokenization.en.srt
|
2.4 KB
|
|
017 What is Tokenization_ Introduction to the Linguistic theory for tokenization.mp4
|
11.3 MB
|
|
018 Linguistic theory for Word Segmentation.en.srt
|
3.5 KB
|
|
018 Linguistic theory for Word Segmentation.mp4
|
15.2 MB
|
|
019 How To Open The .IPYNB file For The Next Lecture (Optional).en.srt
|
2.6 KB
|
|
019 How To Open The .IPYNB file For The Next Lecture (Optional).mp4
|
21.5 MB
|
|
020 Codealong-TokenizationNLTK.ipynb
|
2.6 KB
|
|
020 Tokenization with NLTK.en.srt
|
6.3 KB
|
|
020 Tokenization with NLTK.mp4
|
38.1 MB
|
|
020 TokenizationNLTK-complete.ipynb
|
4.8 KB
|
|
021 Introducing Regular Expressions.en.srt
|
4.5 KB
|
|
021 Introducing Regular Expressions.mp4
|
20.8 MB
|
|
022 Word Segmentation using Python's .split().en.srt
|
3.2 KB
|
|
022 Word Segmentation using Python's .split().mp4
|
20.5 MB
|
|
023 Sentence Segmentation using Python's .split.en.srt
|
4.6 KB
|
|
023 Sentence Segmentation using Python's .split.mp4
|
30.0 MB
|
|
024 Codealong-ReGex.ipynb
|
6.2 KB
|
|
024 ReGex Split Method re.split() Regular Expressions.en.srt
|
4.4 KB
|
|
024 ReGex Split Method re.split() Regular Expressions.mp4
|
34.4 MB
|
|
025 Regex Substitute Method re.sub Regular Expressions.en.srt
|
6.3 KB
|
|
025 Regex Substitute Method re.sub Regular Expressions.mp4
|
40.0 MB
|
|
026 Search Method using Regex re.search _ Regular Expressions.en.srt
|
6.1 KB
|
|
026 Search Method using Regex re.search _ Regular Expressions.mp4
|
45.4 MB
|
|
027 Part 1_ Find All Emails in Contact Details _ Regular Expressions re.findall().en.srt
|
6.2 KB
|
|
027 Part 1_ Find All Emails in Contact Details _ Regular Expressions re.findall().mp4
|
48.4 MB
|
|
028 Codealong-ReGex-Complete.ipynb
|
9.9 KB
|
|
028 Part 2_ Find All Emails in Contact Details _ Regular Expressions re.findall().en.srt
|
6.5 KB
|
|
028 Part 2_ Find All Emails in Contact Details _ Regular Expressions re.findall().mp4
|
45.1 MB
|
|
/.../07 Stemming & Lemmatization/
|
|
029 What is a Stemming_.en.srt
|
6.7 KB
|
|
029 What is a Stemming_.mp4
|
33.5 MB
|
|
030 Stemming with 3 NLTK Methods - Practical.en.srt
|
14.8 KB
|
|
030 Stemming with 3 NLTK Methods - Practical.mp4
|
96.8 MB
|
|
030 stemming-lemma-complete.ipynb
|
10.1 KB
|
|
030 stemming-lemma.ipynb
|
5.6 KB
|
|
031 Comparing Stemming Methods_ Porter, Lancaster & Snowball.en.srt
|
14.4 KB
|
|
031 Comparing Stemming Methods_ Porter, Lancaster & Snowball.mp4
|
66.0 MB
|
|
032 What is Lemmatization_.en.srt
|
11.8 KB
|
|
032 What is Lemmatization_.mp4
|
60.3 MB
|
|
033 Lemmatization with NLTK - Practical.en.srt
|
9.7 KB
|
|
033 Lemmatization with NLTK - Practical.mp4
|
61.1 MB
|
|
033 Lemmatization.ipynb
|
7.3 KB
|
|
034 Wordnet Resource.html
|
1.4 KB
|
|
035 Part 2 Lemmatization with NLTK.en.srt
|
8.0 KB
|
|
035 Part 2 Lemmatization with NLTK.mp4
|
51.6 MB
|
|
036 Part-of-Speech & Lemmatization Precision.en.srt
|
14.8 KB
|
|
036 Part-of-Speech & Lemmatization Precision.mp4
|
113.6 MB
|
|
/.../09 Text Classification Used For Sentiment Analysis/
|
|
046 classification-steamreviews.ipynb
|
560.7 KB
|
|
046 Part 1 _ Steam Game Reviews Project _ Classifier for Sentiment Analysis.en.srt
|
8.9 KB
|
|
046 Part 1 _ Steam Game Reviews Project _ Classifier for Sentiment Analysis.mp4
|
44.7 MB
|
|
046 steamreviews.zip
|
5.2 MB
|
|
047 Part 2_ Steam Game Reviews Classifier _ Explore Dataset.en.srt
|
15.9 KB
|
|
047 Part 2_ Steam Game Reviews Classifier _ Explore Dataset.mp4
|
125.8 MB
|
|
048 Part 3_ Build Classifier _ Steam Game Reviews.en.srt
|
7.4 KB
|
|
048 Part 3_ Build Classifier _ Steam Game Reviews.mp4
|
76.9 MB
|
|
049 Part 4 _ Split & Format Training Data _ Steam Game Reviews _.en.srt
|
15.0 KB
|
|
049 Part 4 _ Split & Format Training Data _ Steam Game Reviews _.mp4
|
148.4 MB
|
|
050 Part 5 _ Prepare Training Data _ Steam Game Reviews _.en.srt
|
6.3 KB
|
|
050 Part 5 _ Prepare Training Data _ Steam Game Reviews _.mp4
|
54.9 MB
|
|
051 Part 6 _ Train the Model _ Steam Game Reviews _.en.srt
|
8.3 KB
|
|
051 Part 6 _ Train the Model _ Steam Game Reviews _.mp4
|
81.3 MB
|
|
052 Part 7_ Testing the Model _ Steam Game Reviews.en.srt
|
12.9 KB
|
|
052 Part 7_ Testing the Model _ Steam Game Reviews.mp4
|
71.0 MB
|
|
/.../10 Word Embedding_ Word2Vec/
|
|
053 Complete-Netflix-Word2vec.ipynb
|
74.4 KB
|
|
053 Netflix-Word2vec.ipynb
|
14.9 KB
|
|
053 netflix.zip
|
993.9 KB
|
|
053 Part 1_ Netflix Recommendation Project_ Data Exploration.en.srt
|
22.5 KB
|
|
053 Part 1_ Netflix Recommendation Project_ Data Exploration.mp4
|
171.2 MB
|
|
054 Part 2_ Preprocessing _ Netflix Recommendation Project.en.srt
|
11.4 KB
|
|
054 Part 2_ Preprocessing _ Netflix Recommendation Project.mp4
|
113.1 MB
|
|
055 google-embed.rtf
|
0.7 KB
|
|
055 Part 3_ Pre-trained Data _ Netflix Recommendation System.en.srt
|
13.2 KB
|
|
055 Part 3_ Pre-trained Data _ Netflix Recommendation System.mp4
|
131.1 MB
|
|
056 Part 4_ Examine Similarities with most_similar Function.en.srt
|
6.3 KB
|
|
056 Part 4_ Examine Similarities with most_similar Function.mp4
|
55.9 MB
|
|
057 Part 5_ Write Vectorize() Function _ Netflix Recommendation System.en.srt
|
5.1 KB
|
|
057 Part 5_ Write Vectorize() Function _ Netflix Recommendation System.mp4
|
49.8 MB
|
|
058 Part 6_ Make function to Get Most Similar Shows _ Netflix Recommendation Project.en.srt
|
7.6 KB
|
|
058 Part 6_ Make function to Get Most Similar Shows _ Netflix Recommendation Project.mp4
|
74.6 MB
|
|
059 Part 7_ Sorted() Function.en.srt
|
7.5 KB
|
|
059 Part 7_ Sorted() Function.mp4
|
51.3 MB
|
|
060 Part 8_ Final Recommendation Output.en.srt
|
10.2 KB
|
|
060 Part 8_ Final Recommendation Output.mp4
|
62.7 MB
|
|
/.../11 Topic Modelling_ NMF with Sklearn/
|
|
061 BBC News NMF Part 1_ Explore Dataset.en.srt
|
17.8 KB
|
|
061 BBC News NMF Part 1_ Explore Dataset.mp4
|
116.1 MB
|
|
061 BBC-08-APR-17-to-08-JUN-E7.csv
|
2.9 MB
|
|
061 topicmodel-nmf-bbc.ipynb
|
10.0 KB
|
|
062 BBC News NMF Part 2_ Preprocessing.en.srt
|
5.3 KB
|
|
062 BBC News NMF Part 2_ Preprocessing.mp4
|
47.4 MB
|
|
063 BBC News NMF Part 3_ Extract Topics.en.srt
|
22.4 KB
|
|
063 BBC News NMF Part 3_ Extract Topics.mp4
|
190.6 MB
|
|
064 BBC News NMF Part 4_ Assign Topics.en.srt
|
12.5 KB
|
|
064 BBC News NMF Part 4_ Assign Topics.mp4
|
111.3 MB
|
|
065 BBC News NMF Part 5_ Create Filtered Dataset, With Only The Articles Needed.en.srt
|
13.3 KB
|
|
065 BBC News NMF Part 5_ Create Filtered Dataset, With Only The Articles Needed.mp4
|
102.2 MB
|
|
066 BBC News NMF Part 6_ Wordcloud With Filtered Articles.en.srt
|
5.5 KB
|
|
066 BBC News NMF Part 6_ Wordcloud With Filtered Articles.mp4
|
42.2 MB
|
|
066 India-News.zip
|
81.2 MB
|
|
066 indiatimes.jpg
|
28.3 KB
|
|
/.../12 Deep Learning & Neural Networks Explained/
|
|
067 Neural Networks Overview.en.srt
|
2.3 KB
|
|
067 Neural Networks Overview.mp4
|
7.2 MB
|
|
068 Machine Learning Overview.en.srt
|
12.4 KB
|
|
068 Machine Learning Overview.mp4
|
45.6 MB
|
|
069 Neural Networks Explained.en.srt
|
5.9 KB
|
|
069 Neural Networks Explained.mp4
|
20.9 MB
|
|
070 Forward Propagation.en.srt
|
12.5 KB
|
|
070 Forward Propagation.mp4
|
57.1 MB
|
|
071 Activation Functions.en.srt
|
12.8 KB
|
|
071 Activation Functions.mp4
|
52.6 MB
|
|
072 Model Training_ Part 1 - Loss Functions.en.srt
|
12.9 KB
|
|
072 Model Training_ Part 1 - Loss Functions.mp4
|
51.6 MB
|
|
073 Model Training_ Part 2 - Backpropagation.en.srt
|
14.6 KB
|
|
073 Model Training_ Part 2 - Backpropagation.mp4
|
62.9 MB
|
|
074 Learning Rates_ With Explained Example.en.srt
|
19.3 KB
|
|
074 Learning Rates_ With Explained Example.mp4
|
90.4 MB
|
|
075 Model Testing_ Overfitting.en.srt
|
23.3 KB
|
|
075 Model Testing_ Overfitting.mp4
|
103.1 MB
|
|
076 Iterations of The Model.en.srt
|
5.4 KB
|
|
076 Iterations of The Model.mp4
|
22.7 MB
|
|
077 Evaluating A Model.en.srt
|
10.7 KB
|
|
077 Evaluating A Model.mp4
|
45.6 MB
|
|
078 Overview For Getting Good Model Performance.en.srt
|
6.5 KB
|
|
078 Overview For Getting Good Model Performance.mp4
|
22.8 MB
|
|
/.../13 Rule-Based Chatbot for Banking Customer Service/
|
|
079 Chatbot #1_ Part1 - Rule-Based For Hard-Coded Exact Matching.en.srt
|
1.8 KB
|
|
079 Chatbot #1_ Part1 - Rule-Based For Hard-Coded Exact Matching.mp4
|
14.4 MB
|
|
079 chatbot-rule.ipynb
|
5.4 KB
|
|
080 Chatbot #1_ Part 2 - Rule-Based For Hard-Coded Exact Matching.en.srt
|
12.1 KB
|
|
080 Chatbot #1_ Part 2 - Rule-Based For Hard-Coded Exact Matching.mp4
|
88.2 MB
|
|
080 chatbot-rule-complete.ipynb
|
7.3 KB
|
|
081 Chatbot #2_ Rule-Based Using Keywords.en.srt
|
19.8 KB
|
|
081 Chatbot #2_ Rule-Based Using Keywords.mp4
|
155.7 MB
|
|
081 chatbot-rule-complete2.ipynb
|
9.6 KB
|
|
081 chatbot-rule.ipynb
|
5.4 KB
|
|
/.../14 Deep Learning_ Build LSTM Model for Fake News Detection/
|
|
082 Fake-News-Detector-LSTM-Complete.ipynb
|
55.2 KB
|
|
082 Fake-News-Detector-LSTM.ipynb
|
13.6 KB
|
|
082 FakeNews LSTM Part 1_ Import Libraries, Load Dataset.en.srt
|
4.3 KB
|
|
082 FakeNews LSTM Part 1_ Import Libraries, Load Dataset.mp4
|
35.7 MB
|
|
082 fakenews.zip
|
38.8 MB
|
|
083 FakeNews LSTM Part 2_ Remove Null Values.en.srt
|
7.4 KB
|
|
083 FakeNews LSTM Part 2_ Remove Null Values.mp4
|
66.9 MB
|
|
084 FakeNews LSTM Part3_ Preprocess Data.en.srt
|
10.1 KB
|
|
084 FakeNews LSTM Part3_ Preprocess Data.mp4
|
95.4 MB
|
|
/.../15 Speech Recognition Practical/
|
|
085 Jetsons Cartoon, Google Assistant_ NLP & Sound Recognition.en.srt
|
6.5 KB
|
|
085 Jetsons Cartoon, Google Assistant_ NLP & Sound Recognition.mp4
|
70.0 MB
|
|
086 audio-text.ipynb
|
6.2 KB
|
|
086 Convert Speech to Text - Load Resource File.en.srt
|
1.1 KB
|
|
086 Convert Speech to Text - Load Resource File.mp4
|
8.4 MB
|
|
086 Merry-Christmas-SoundBible.com-1120316507.wav
|
882.0 KB
|
|
087 Part 1_ Convert Speech to Text.en.srt
|
6.3 KB
|
|
087 Part 1_ Convert Speech to Text.mp4
|
57.9 MB
|
|
088 Part2_ Recognise Speech & Convert to Text.en.srt
|
7.3 KB
|
|
088 Part2_ Recognise Speech & Convert to Text.mp4
|
67.8 MB
|
|
/.../16 Python Crash Course_ A Beginner's Guide/
|
|
089 Why Python for Data Science_.en.srt
|
4.9 KB
|
|
089 Why Python for Data Science_.mp4
|
20.1 MB
|
|
090 Python-Crash-Course.ipynb
|
28.2 KB
|
|
090 Python_ Variables.en.srt
|
9.9 KB
|
|
090 Python_ Variables.mp4
|
28.5 MB
|
|
091 Python_ Lists & Dictionaries.en.srt
|
15.8 KB
|
|
091 Python_ Lists & Dictionaries.mp4
|
59.1 MB
|
|
092 Python_ Conditionals.en.srt
|
9.7 KB
|
|
092 Python_ Conditionals.mp4
|
32.0 MB
|
|
093 Python_ Loops.en.srt
|
11.9 KB
|
|
093 Python_ Loops.mp4
|
38.1 MB
|
|
094 Python_ Functions.en.srt
|
8.1 KB
|
|
094 Python_ Functions.mp4
|
23.3 MB
|
|
095 Python_ Classes.en.srt
|
11.7 KB
|
|
095 Python_ Classes.mp4
|
41.5 MB
|
|
Total files 223
|
