PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\Practical Machine Learning, Twitter-API & Map Visualization\5. Your First Big Machine Learning Project Sentiment Analysis of Tweets

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1. Introduction to Sentiment Analysis in Machine Learning.mp448,120 KB12/12/2021 3:34 AM
1. Introduction to Sentiment Analysis in Machine Learning.srt5 KB12/12/2021 3:34 AM
10. Step 2c Remove stop words (with Python).mp458,038 KB12/12/2021 3:34 AM
10. Step 2c Remove stop words (with Python).srt5 KB12/12/2021 3:34 AM
11. Code Step 2c Remove stop words.html2 KB12/12/2021 3:34 AM
11.1 CreateSentimentModel.py2 KB12/12/2021 3:34 AM
12. Step 3 Transform Data.mp4149,717 KB12/12/2021 3:34 AM
12. Step 3 Transform Data.srt12 KB12/12/2021 3:34 AM
12.1 httpswww.nltk.orgapinltk.classify.html.html1 KB12/12/2021 3:34 AM
13. Code Step 3 Transform Data.html3 KB12/12/2021 3:34 AM
13.1 CreateSentimentModel.py2 KB12/12/2021 3:34 AM
14. Step 4 Divide the dataset into training and testing set.mp469,508 KB12/12/2021 3:34 AM
14. Step 4 Divide the dataset into training and testing set.srt6 KB12/12/2021 3:34 AM
14.1 httpsdocs.python.org3libraryrandom.html.html1 KB12/12/2021 3:34 AM
15. Code Step 4 Divide the dataset into training and test set.html3 KB12/12/2021 3:34 AM
15.1 CreateSentimentModel.py3 KB12/12/2021 3:34 AM
16. Step 5-6 Training and test the model.mp4129,749 KB12/12/2021 3:34 AM
16. Step 5-6 Training and test the model.srt11 KB12/12/2021 3:34 AM
16.1 httpswww.nltk.orgapinltk.classify.html.html1 KB12/12/2021 3:34 AM
17. Code Step 5-6 Training and test the model.html3 KB12/12/2021 3:34 AM
17.1 CreateSentimentModel.py3 KB12/12/2021 3:34 AM
18. Step 7 Save the pickle.mp4102,613 KB12/12/2021 3:34 AM
18. Step 7 Save the pickle.srt9 KB12/12/2021 3:34 AM
18.1 httpsdocs.python.org3librarypickle.html.html1 KB12/12/2021 3:34 AM
19. Code Step 7 Save the pickle.html3 KB12/12/2021 3:34 AM
19.1 CreateSentimentModel.py3 KB12/12/2021 3:34 AM
2. The Library you will use NLTK and download the datasets.mp444,926 KB12/12/2021 3:34 AM
2. The Library you will use NLTK and download the datasets.srt5 KB12/12/2021 3:34 AM
2.1 httpwww.nltk.org.html1 KB12/12/2021 3:34 AM
3. Code Download the training data.html1 KB12/12/2021 3:34 AM
4. Step 1 Gather the data (import the downloaded data in Python).mp465,741 KB12/12/2021 3:34 AM
4. Step 1 Gather the data (import the downloaded data in Python).srt6 KB12/12/2021 3:34 AM
5. Code Step1 Gather the data.html1 KB12/12/2021 3:34 AM
5.1 CreateSentimentModel.py1 KB12/12/2021 3:34 AM
6. Step 2a Clean the data (with Python).mp476,997 KB12/12/2021 3:34 AM
6. Step 2a Clean the data (with Python).srt7 KB12/12/2021 3:34 AM
7. Step 2a Clean the data.html1 KB12/12/2021 3:34 AM
7.1 CreateSentimentModel.py1 KB12/12/2021 3:34 AM
8. Step 2b Lemmatize the data (with Python).mp490,634 KB12/12/2021 3:34 AM
8. Step 2b Lemmatize the data (with Python).srt7 KB12/12/2021 3:34 AM
9. Code Step 2b Lemmatize words.html2 KB12/12/2021 3:34 AM
9.1 CreateSentimentModel.py2 KB12/12/2021 3:34 AM