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0
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614.4 B
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1
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204.8 B
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1. Preview.mp4
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MP4
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70 MB
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1. Preview.srt
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SRT
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5.2 KB
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1. Section Overview.mp4
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MP4
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22.5 MB
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1. Section Overview.srt
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SRT
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1.4 KB
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2
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102.4 B
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10. (Python Practice) Applied Tokenization (33).mp4
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MP4
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18.3 MB
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10. (Python Practice) Applied Tokenization (33).srt
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SRT
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3.4 KB
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10. (Python Practice) Dataset Visualization.mp4
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MP4
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22.2 MB
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10. (Python Practice) Dataset Visualization.srt
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SRT
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3.7 KB
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10.1 Colab_Notebook_Section_1_completed.ipynb
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IPYNB
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78.5 KB
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11. Stemming.mp4
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MP4
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18.1 MB
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11. Stemming.srt
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SRT
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3.1 KB
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12. (Python Practice) Applied Stemming.mp4
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MP4
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18.8 MB
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12. (Python Practice) Applied Stemming.srt
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SRT
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3.3 KB
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13. Lemmatization.mp4
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MP4
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14.8 MB
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13. Lemmatization.srt
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SRT
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2.5 KB
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14. (Python Practice) Applied Lemmatization.mp4
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MP4
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18.6 MB
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14. (Python Practice) Applied Lemmatization.srt
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SRT
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3.9 KB
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15. (Python Pratice) Tweet Pre-Processing.mp4
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MP4
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8.4 MB
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15. (Python Pratice) Tweet Pre-Processing.srt
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SRT
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1.1 KB
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15.1 Colab_Notebook_Section_2_completed.ipynb
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IPYNB
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82 KB
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2. What is Text Normalization.mp4
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MP4
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19.6 MB
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2. What is Text Normalization.srt
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SRT
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3.7 KB
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2. What is Text.mp4
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MP4
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20.5 MB
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2. What is Text.srt
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SRT
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3.5 KB
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2. Why Representing Text.mp4
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MP4
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17.6 MB
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2. Why Representing Text.srt
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SRT
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2.6 KB
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2. Why a model.mp4
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MP4
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11.7 MB
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2. Why a model.srt
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SRT
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1.7 KB
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2.1 Section 1 - Theory Deck.pdf
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PDF
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2.6 MB
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2.1 Section 2 - Theory Deck.pdf
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PDF
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1.8 MB
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2.1 Section 3 - Theory Deck.pdf
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PDF
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1.5 MB
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2.1 Section 4 - Theory Deck.pdf
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PDF
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1.6 MB
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3. Logistic Regression.mp4
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MP4
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37.4 MB
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3. Logistic Regression.srt
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SRT
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7.7 KB
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3. PositiveNegative Word Frequencies.mp4
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MP4
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23.3 MB
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3. PositiveNegative Word Frequencies.srt
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SRT
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4.6 KB
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3. Text Cleaning (12) - Twitter Features.mp4
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MP4
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22.2 MB
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3. Text Cleaning (12) - Twitter Features.srt
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SRT
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4.2 KB
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3. What is Text Mining.mp4
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MP4
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19 MB
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3. What is Text Mining.srt
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SRT
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3.1 KB
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3
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157.9 KB
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4
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34.4 KB
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4. (Python Practice) Applied PositiveNegative Frequencies.mp4
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MP4
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21 MB
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4. (Python Practice) Applied PositiveNegative Frequencies.srt
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SRT
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3.5 KB
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4. (Python Practice) Cleaning Twitter Features.mp4
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MP4
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38 MB
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4. (Python Practice) Cleaning Twitter Features.srt
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SRT
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8 KB
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4. ML Model Training.mp4
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MP4
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33.8 MB
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4. ML Model Training.srt
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SRT
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5.7 KB
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4. Text Mining and NLP.mp4
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MP4
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14.6 MB
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4. Text Mining and NLP.srt
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SRT
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2.4 KB
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5. (Python Practice) TrainTest split.mp4
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MP4
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16.9 MB
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5. (Python Practice) TrainTest split.srt
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SRT
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2.8 KB
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5. Bag-of-Words.mp4
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MP4
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19.6 MB
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5. Bag-of-Words.srt
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SRT
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3.5 KB
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5. Sentiment Analysis.mp4
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MP4
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16.3 MB
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5. Sentiment Analysis.srt
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SRT
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2.7 KB
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5. Text Cleaning (22) - General Features.srt
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SRT
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3.5 KB
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5
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189.2 KB
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5. Text Cleaning (22) - General Features.mp4
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MP4
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18.7 MB
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6
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14.4 KB
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6. (Python Practice) Applied Bag-of-Words.mp4
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MP4
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29.1 MB
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6. (Python Practice) Applied Bag-of-Words.srt
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SRT
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5.8 KB
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6. (Python Practice) Cleaning General Features.mp4
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MP4
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30.8 MB
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6. (Python Practice) Cleaning General Features.srt
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SRT
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6.6 KB
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6. (Python Practice) ML Model Fitting.mp4
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MP4
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29.5 MB
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6. (Python Practice) ML Model Fitting.srt
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SRT
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6 KB
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6. Roadmap.mp4
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MP4
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16.2 MB
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6. Roadmap.srt
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SRT
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2.7 KB
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7. (Python Practice) Google Colab.mp4
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MP4
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12.3 MB
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7. Model Performance Measures.srt
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SRT
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7.1 KB
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7. TF-IDF.mp4
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MP4
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23.5 MB
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7
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434.7 KB
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7. (Python Practice) Google Colab.srt
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SRT
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3.2 KB
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7. Model Performance Measures.mp4
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MP4
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33.5 MB
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7. TF-IDF.srt
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SRT
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4.7 KB
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7. Tokenization.mp4
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MP4
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26.2 MB
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7. Tokenization.srt
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SRT
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5.3 KB
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7.1 Colab_Notebook.ipynb
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IPYNB
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77.5 KB
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8. (Python Practice) Applied Performance Measures.mp4
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MP4
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19.1 MB
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8. (Python Practice) Applied Performance Measures.srt
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SRT
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4 KB
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8. (Python Practice) Applied TF-IDF.mp4
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MP4
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17.7 MB
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8. (Python Practice) Applied TF-IDF.srt
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SRT
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3.4 KB
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8. (Python Practice) Applied Tokenization (13).mp4
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MP4
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12.6 MB
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8. (Python Practice) Dataset Connection.srt
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SRT
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3.8 KB
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8
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466 KB
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8. (Python Practice) Applied Tokenization (13).srt
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SRT
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2.3 KB
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8. (Python Practice) Dataset Connection.mp4
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MP4
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21.2 MB
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8.1 Colab_Notebook_Section_3_completed.ipynb
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IPYNB
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83.7 KB
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8.1 Colab_Notebook_Section_4_completed.ipynb
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IPYNB
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85.3 KB
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8.1 tweet_data.csv
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CSV
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1.8 MB
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9. (Python Practice) Applied Tokenization (23).srt
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SRT
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2.4 KB
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9
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320.5 KB
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9. (Python Practice) Applied Tokenization (23).mp4
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MP4
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11.9 MB
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9. (Python Practice) Dataset Overview.mp4
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MP4
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16.2 MB
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9. (Python Practice) Dataset Overview.srt
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SRT
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3 KB
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9. (Python Practice) Prediction Pipeline.mp4
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MP4
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12.6 MB
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9. (Python Practice) Prediction Pipeline.srt
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SRT
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2.1 KB
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TutsNode.com.txt
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TXT
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102.4 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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TXT
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614.4 B
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10
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47.1 KB
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11
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247.8 KB
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12
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486.8 KB
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13
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324.3 KB
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14
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327.3 KB
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15
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263.6 KB
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16
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38.8 KB
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17
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24 KB
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18
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409.8 KB
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19
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459.9 KB
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20
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397.1 KB
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21
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471 KB
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22
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221.8 KB
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23
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275 KB
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24
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361.1 KB
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25
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442.6 KB
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26
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207.3 KB
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27
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432.6 KB
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28
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328.3 KB
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29
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398.4 KB
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30
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306.6 KB
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31
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109.1 KB
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32
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216.9 KB
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33
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294.8 KB
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34
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321.9 KB
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35
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232.7 KB
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36
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399.6 KB
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37
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379.9 KB
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38
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417.7 KB
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39
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157.7 KB
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40
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80.3 KB
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41
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320.5 KB
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42
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132.2 KB
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43
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425.9 KB
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44
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202 KB
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45
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255.2 KB
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