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[ FreeCourseWeb com ] Udemy - Natural Language Processing - NLP In Python with Projects
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1. Introduction to NLP
1. What is NLP.mp4
1. What is NLP.srt
2. Why should you learn NLP.mp4
2. Why should you learn NLP.srt
3. Applications of NLP.mp4
3. Applications of NLP.srt
4. Steps to solve NLP Problems.mp4
4. Steps to solve NLP Problems.srt
5. Introduction to Text Processing.mp4
5. Introduction to Text Processing.srt
6. Popular Libraries used for NLP.mp4
6. Popular Libraries used for NLP.srt
7. Quiz Solution.mp4
7. Quiz Solution.srt
2. Feature Engineering for NLP
1. Introduction to Feature Engineering.mp4
1. Introduction to Feature Engineering.srt
2. Reading and Summarizing the Text Data.mp4
2. Reading and Summarizing the Text Data.srt
3. Finding the Length, Polarity and Subjectivity.mp4
3. Finding the Length, Polarity and Subjectivity.srt
4. Finding the Words, Characters, and Punctuation Count.mp4
4. Finding the Words, Characters, and Punctuation Count.srt
5. Counting Nouns and Verbs in the Text.mp4
5. Counting Nouns and Verbs in the Text.srt
6. Counting Adjectives, Adverb, and Pronouns.mp4
6. Counting Adjectives, Adverb, and Pronouns.srt
7. Quiz Solution.mp4
7. Quiz Solution.srt
3. Data Cleaning for NLP
1. Why Is it so Necessary to Clean the Data.mp4
1. Why Is it so Necessary to Clean the Data.srt
2. Removing Punctuations and Numbers.mp4
2. Removing Punctuations and Numbers.srt
3. Performing Tokenization.mp4
3. Performing Tokenization.srt
4. Removing Special and accented Characters.mp4
4. Removing Special and accented Characters.srt
5. Introduction to Stop words.mp4
5. Introduction to Stop words.srt
6. Stemming and Lemmatization.mp4
6. Stemming and Lemmatization.srt
7. Quiz Solution.mp4
7. Quiz Solution.srt
4. Feature Extraction for NLP
1. What is Feature Extraction.mp4
1. What is Feature Extraction.srt
2. Introduction to Bag of Words.mp4
2. Introduction to Bag of Words.srt
3. Introduction to TFIDF.mp4
3. Introduction to TFIDF.srt
4. Implementing bag of Words and TFIDF.mp4
4. Implementing bag of Words and TFIDF.srt
5. Introduction to N Grams Analysis.mp4
5. Introduction to N Grams Analysis.srt
6. Implementing N Grams Analysis.mp4
6. Implementing N Grams Analysis.srt
7. Quiz Solution.mp4
7. Quiz Solution.srt
5. Data Visualization for NLP
1. Importance of Data Visualization in NLP.mp4
1. Importance of Data Visualization in NLP.srt
2. Visualizing Polarity and Subjectivity.mp4
2. Visualizing Polarity and Subjectivity.srt
3. Part-of-Speech Tagging.mp4
3. Part-of-Speech Tagging.srt
4. Visualizing Most Frequent Words.mp4
4. Visualizing Most Frequent Words.srt
5. Visualizing N-Grams.mp4
5. Visualizing N-Grams.srt
6. Introduction to Words Cloud.mp4
6. Introduction to Words Cloud.srt
7. Quiz Solution.mp4
7. Quiz Solution.srt
6. Text Classification using ML
1. What is Text Classification.mp4
1. What is Text Classification.srt
2. Applications for Text Classification.mp4
2. Applications for Text Classification.srt
3. Best Models for Text Classification.mp4
3. Best Models for Text Classification.srt
4. Implementing a Naive Bayes Classifier.mp4
4. Implementing a Naive Bayes Classifier.srt
5. Implementing a SVM Classifier.mp4
5. Implementing a SVM Classifier.srt
6. More Things to Try.mp4
6. More Things to Try.srt
7. Quiz Solution.mp4
7. Quiz Solution.srt
7. Sentiment analyzer
1. Setting up the Environment.mp4
1. Setting up the Environment.srt
2. Understanding the problem statement.mp4
2. Understanding the problem statement.srt
3. Scraping Data from Social Media Websites.mp4
3. Scraping Data from Social Media Websites.srt
4. Cleaning the data.mp4
4. Cleaning the data.srt
5. Creating a Sentiment Analyzer Engine.mp4
5. Creating a Sentiment Analyzer Engine.srt
6. Visualizing results.mp4
6. Visualizing results.srt
7. Major Takeaways.mp4
7. Major Takeaways.srt
8. Drugs Prescription using Reviews
1. Setting up the Environment.mp4
1. Setting up the Environment.srt
10. Finding Most Useful and Useful Drugs for each Condition.mp4
10. Finding Most Useful and Useful Drugs for each Condition.srt
2. Understanding the Dataset.mp4
2. Understanding the Dataset.srt
3. Understanding the Problem Statement.mp4
3. Understanding the Problem Statement.srt
4. Summarizing the Dataset.mp4
4. Summarizing the Dataset.srt
5. Unveiling Hidden Patterns from the Dataset.mp4
5. Unveiling Hidden Patterns from the Dataset.srt
6. Cleaning the Reviews.mp4
6. Cleaning the Reviews.srt
7. Calculating Sentiment from Reviews.mp4
7. Calculating Sentiment from Reviews.srt
8. Calculating Effectiveness and Usefulness of Drugs.mp4
8. Calculating Effectiveness and Usefulness of Drugs.srt
9. Analysing the Medical Conditions.mp4
9. Analysing the Medical Conditions.srt
9. Outro Section
1. Conclusion.mp4
1. Conclusion.srt
Bonus Resources.txt
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