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[ FreeCourseWeb com ] Udemy - Master Natural Language Processing & Build NLP Web App
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Name:[ FreeCourseWeb com ] Udemy - Master Natural Language Processing & Build NLP Web App
Infohash: 0D571EE347C7A928FB353CAF12CC147A2ADC7DB3
Total Size: 1.26 GB
Magnet: Magnet Download
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Leechers: 3
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Last Updated: 2025-10-26 03:48:19 (Update Now)
Torrent added: 2021-08-04 07:31:10
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Torrent Files List
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1. Introduction
1. Introduction.mp4
1. Introduction.srt
2. Key concepts in NLP
1. Key concepts in NLP Sentence Segmentation.mp4
1. Key concepts in NLP Sentence Segmentation.srt
2. Key concepts in NLP Word Tokenization.mp4
2. Key concepts in NLP Word Tokenization.srt
3. Key concepts in NLP Stemming.mp4
3. Key concepts in NLP Stemming.srt
4. Key concepts in NLP Lemmatization.mp4
4. Key concepts in NLP Lemmatization.srt
5. Key concepts in NLP Stop Words.mp4
5. Key concepts in NLP Stop Words.srt
6. Key concepts in NLP Dependency Parsing.mp4
6. Key concepts in NLP Dependency Parsing.srt
7. Key concepts in NLP Parts of Speech.mp4
7. Key concepts in NLP Parts of Speech.srt
3. Ambiguities in NLP
1. Ambiguities in NLP.mp4
1. Ambiguities in NLP.srt
4. NLP Libraries and Coding for NLP
1. NLTK and NLP in action.mp4
1. NLTK and NLP in action.srt
2. Noise removal.mp4
2. Noise removal.srt
3. Spacy.mp4
3. Spacy.srt
4. Flash Text.mp4
4. Flash Text.srt
5. Named Entity Recognition (NER).mp4
5. Named Entity Recognition (NER).srt
5. Case Studies (with walk through of the codes)
1. Case Study Sentiment Analysis & Word Cloud.mp4
1. Case Study Sentiment Analysis & Word Cloud.srt
2. Case Study Speech to Text deployment in a call center.mp4
2. Case Study Speech to Text deployment in a call center.srt
3. Text Summarization.mp4
3. Text Summarization.srt
4. Case Study 4 Spam Classification Using Machine Learning.mp4
4. Case Study 4 Spam Classification Using Machine Learning.srt
6. Creating an NLP Web App Using Streamlit
1. Infrastructure for Streamlit.mp4
1. Infrastructure for Streamlit.srt
2. Creating a very simple web app and Getting started with streamlit.mp4
2. Creating a very simple web app and Getting started with streamlit.srt
3. Header and Sub Header.mp4
3. Header and Sub Header.srt
4. Reading and displaying contents of a file.mp4
4. Reading and displaying contents of a file.srt
5. Uploading a file.mp4
5. Uploading a file.srt
6. NLP Wordcloud App.mp4
6. NLP Wordcloud App.srt
7. Deploying the app in Heroku.mp4
7. Deploying the app in Heroku.srt
8. Deploying the app in streamlit.mp4
8. Deploying the app in streamlit.srt
7. Machine Learning Concepts
1. Machine Learning Concepts.mp4
1. Machine Learning Concepts.srt
2. Logistic Regression and Introduction to Deep Learning.mp4
2. Logistic Regression and Introduction to Deep Learning.srt
8. Python Programming Using Google Colab
1. Introduction to Colab Google Cloud Development Environment.mp4
1. Introduction to Colab Google Cloud Development Environment.srt
10. Tuple.mp4
10. Tuple.srt
11. Set.mp4
11. Set.srt
12. Dictionary.mp4
12. Dictionary.srt
13. Getting Started with NumPy.mp4
13. Getting Started with NumPy.srt
14. NumPy Shape in Arrays.mp4
14. NumPy Shape in Arrays.srt
15. NumPy Iterating Arrays.mp4
15. NumPy Iterating Arrays.srt
16. NumPy Joining Arrays.mp4
16. NumPy Joining Arrays.srt
17. NumPy Splitting Arrays.mp4
17. NumPy Splitting Arrays.srt
18. NumPy Searching and Sorting Arrays.mp4
18. NumPy Searching and Sorting Arrays.srt
19. Getting Started with Pandas.mp4
19. Getting Started with Pandas.srt
2. Getting Started with Python.mp4
2. Getting Started with Python.srt
20. Pandas Dataframe.mp4
20. Pandas Dataframe.srt
21. Pandas Descriptive Statistics.mp4
21. Pandas Descriptive Statistics.srt
22. Pandas Sorting, Slicing, Flipping, Grouping Data.mp4
22. Pandas Sorting, Slicing, Flipping, Grouping Data.srt
23. Data Visualization using Matplotlib.mp4
23. Data Visualization using Matplotlib.srt
3. Variables.mp4
3. Variables.srt
4. Operators.mp4
4. Operators.srt
5. Conditions.mp4
5. Conditions.srt
6. Loops.mp4
6. Loops.srt
7. Functions.mp4
7. Functions.srt
8. Arrays.mp4
8. Arrays.srt
9. List.mp4
9. List.srt
Bonus Resources.txt
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