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| [FreeCoursesOnline.Me].url |
133б |
| [FreeTutorials.Eu].url |
129б |
| [FTU Forum].url |
1.34Кб |
| 1.1 UPDATED_NLP_COURSE.zip.zip |
89.48Мб |
| 1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.mp4 |
35.68Мб |
| 1. Course Overview - DO NOT SKIP THIS LECTURE PLEASE. IMPORTANT INFO HERE!.srt |
7.08Кб |
| 1. Introduction to Deep Learning for NLP.mp4 |
6.89Мб |
| 1. Introduction to Deep Learning for NLP.srt |
1.20Кб |
| 1. Introduction to Natural Language Processing.mp4 |
4.14Мб |
| 1. Introduction to Natural Language Processing.srt |
970б |
| 1. Introduction to Python Text Basics.mp4 |
3.68Мб |
| 1. Introduction to Python Text Basics.srt |
887б |
| 1. Introduction to Section on POS and NER.mp4 |
3.55Мб |
| 1. Introduction to Section on POS and NER.srt |
749б |
| 1. Introduction to Semantics and Sentiment Analysis.mp4 |
2.19Мб |
| 1. Introduction to Semantics and Sentiment Analysis.srt |
649б |
| 1. Introduction to Text Classification.mp4 |
5.42Мб |
| 1. Introduction to Text Classification.srt |
1.26Кб |
| 1. Introduction to Topic Modeling Section.mp4 |
4.28Мб |
| 1. Introduction to Topic Modeling Section.srt |
852б |
| 10. Phrase Matching and Vocabulary - Part One.mp4 |
108.07Мб |
| 10. Phrase Matching and Vocabulary - Part One.srt |
20.94Кб |
| 10. Text Feature Extraction - Code Along - Part Two.mp4 |
89.35Мб |
| 10. Text Feature Extraction - Code Along - Part Two.srt |
14.56Кб |
| 10. Text Generation with LSTMS with Keras - Part Three.mp4 |
99.53Мб |
| 10. Text Generation with LSTMS with Keras - Part Three.srt |
19.28Кб |
| 11.1 End to End Networks.html |
97б |
| 11. Chat Bots Overview.mp4 |
42.01Мб |
| 11. Chat Bots Overview.srt |
10.97Кб |
| 11. Phrase Matching and Vocabulary - Part Two.mp4 |
53.14Мб |
| 11. Phrase Matching and Vocabulary - Part Two.srt |
9.71Кб |
| 11. Text Classification Code Along Project.mp4 |
66.63Мб |
| 11. Text Classification Code Along Project.srt |
14.28Кб |
| 12. Creating Chat Bots with Python - Part One.mp4 |
51.22Мб |
| 12. Creating Chat Bots with Python - Part One.srt |
14.80Кб |
| 12. NLP Basics Assessment Overview.mp4 |
25.69Мб |
| 12. NLP Basics Assessment Overview.srt |
4.70Кб |
| 12. Text Classification Assessment Overview.mp4 |
9.30Мб |
| 12. Text Classification Assessment Overview.srt |
1.80Кб |
| 13. Creating Chat Bots with Python - Part Two.mp4 |
73.33Мб |
| 13. Creating Chat Bots with Python - Part Two.srt |
16.34Кб |
| 13. NLP Basics Assessment Solution.mp4 |
57.84Мб |
| 13. NLP Basics Assessment Solution.srt |
9.69Кб |
| 13. Text Classification Assessment Solutions.mp4 |
42.99Мб |
| 13. Text Classification Assessment Solutions.srt |
8.68Кб |
| 14. Creating Chat Bots with Python - Part Three.mp4 |
117.08Мб |
| 14. Creating Chat Bots with Python - Part Three.srt |
22.45Кб |
| 15. Creating Chat Bots with Python - Part Four.mp4 |
143.41Мб |
| 15. Creating Chat Bots with Python - Part Four.srt |
26.27Кб |
| 2. Machine Learning Overview.mp4 |
50.72Мб |
| 2. Machine Learning Overview.srt |
14.89Кб |
| 2. Overview of Semantics and Word Vectors.mp4 |
40.22Мб |
| 2. Overview of Semantics and Word Vectors.srt |
10.52Кб |
| 2. Overview of Topic Modeling.mp4 |
12.94Мб |
| 2. Overview of Topic Modeling.srt |
2.98Кб |
| 2. Part of Speech Tagging.mp4 |
110.02Мб |
| 2. Part of Speech Tagging.srt |
23.32Кб |
| 2. Quick Check.html |
150б |
| 2. Spacy Setup and Overview.mp4 |
56.16Мб |
| 2. Spacy Setup and Overview.srt |
11.48Кб |
| 2. The Basic Perceptron Model.mp4 |
22.15Мб |
| 2. The Basic Perceptron Model.srt |
7.63Кб |
| 2. Working with Text Files with Python - Part One.mp4 |
65.16Мб |
| 2. Working with Text Files with Python - Part One.srt |
16.38Кб |
| 3. Classification Metrics.mp4 |
61.93Мб |
| 3. Classification Metrics.srt |
17.47Кб |
| 3. Curriculum Overview.mp4 |
20.27Мб |
| 3. Curriculum Overview.srt |
4.83Кб |
| 3. Introduction to Neural Networks.mp4 |
29.45Мб |
| 3. Introduction to Neural Networks.srt |
9.65Кб |
| 3. Latent Dirichlet Allocation Overview.mp4 |
60.20Мб |
| 3. Latent Dirichlet Allocation Overview.srt |
15.04Кб |
| 3. Semantics and Word Vectors with Spacy.mp4 |
114.71Мб |
| 3. Semantics and Word Vectors with Spacy.srt |
23.15Кб |
| 3. Visualizing Part of Speech.mp4 |
32.82Мб |
| 3. Visualizing Part of Speech.srt |
8.57Кб |
| 3. What is Natural Language Processing.mp4 |
19.08Мб |
| 3. What is Natural Language Processing.srt |
4.42Кб |
| 3. Working with Text Files with Python - Part Two.mp4 |
118.48Мб |
| 3. Working with Text Files with Python - Part Two.srt |
28.19Кб |
| 4.1 Link for .yml file (Should work for all Operating Systems).html |
127б |
| 4. Confusion Matrix.mp4 |
53.86Мб |
| 4. Confusion Matrix.srt |
15.15Кб |
| 4. Installation and Setup Lecture.mp4 |
89.08Мб |
| 4. Installation and Setup Lecture.srt |
18.99Кб |
| 4. Keras Basics - Part One.mp4 |
90.87Мб |
| 4. Keras Basics - Part One.srt |
19.63Кб |
| 4. Latent Dirichlet Allocation with Python - Part One.mp4 |
59.90Мб |
| 4. Latent Dirichlet Allocation with Python - Part One.srt |
12.80Кб |
| 4. Named Entity Recognition - Part One.mp4 |
67.09Мб |
| 4. Named Entity Recognition - Part One.srt |
12.55Кб |
| 4. Sentiment Analysis Overview.mp4 |
30.40Мб |
| 4. Sentiment Analysis Overview.srt |
6.80Кб |
| 4. Spacy Basics.mp4 |
128.30Мб |
| 4. Spacy Basics.srt |
26.60Кб |
| 4. Working with PDFs.mp4 |
73.85Мб |
| 4. Working with PDFs.srt |
16.22Кб |
| 5.1 UPDATED_NLP_COURSE.zip.zip |
89.47Мб |
| 5. FAQ - Frequently Asked Questions.html |
5.09Кб |
| 5. Keras Basics - Part Two.mp4 |
37.06Мб |
| 5. Keras Basics - Part Two.srt |
7.82Кб |
| 5. Latent Dirichlet Allocation with Python - Part Two.mp4 |
128.40Мб |
| 5. Latent Dirichlet Allocation with Python - Part Two.srt |
20.27Кб |
| 5. Named Entity Recognition - Part Two.mp4 |
63.23Мб |
| 5. Named Entity Recognition - Part Two.srt |
11.53Кб |
| 5. Regular Expressions Part One.mp4 |
95.15Мб |
| 5. Regular Expressions Part One.srt |
21.33Кб |
| 5. Scikit-Learn Primer - How to Use SciKit-Learn.mp4 |
21.39Мб |
| 5. Scikit-Learn Primer - How to Use SciKit-Learn.srt |
6.76Кб |
| 5. Sentiment Analysis with NLTK.mp4 |
91.10Мб |
| 5. Sentiment Analysis with NLTK.srt |
17.69Кб |
| 5. Tokenization - Part One.mp4 |
76.20Мб |
| 5. Tokenization - Part One.srt |
19.57Кб |
| 6. Non-negative Matrix Factorization Overview.mp4 |
41.64Мб |
| 6. Non-negative Matrix Factorization Overview.srt |
9.32Кб |
| 6. Recurrent Neural Network Overview.mp4 |
33.43Мб |
| 6. Recurrent Neural Network Overview.srt |
11.30Кб |
| 6. Regular Expressions Part Two.mp4 |
61.14Мб |
| 6. Regular Expressions Part Two.srt |
13.47Кб |
| 6. Scikit-Learn Primer - Code Along Part One.mp4 |
88.28Мб |
| 6. Scikit-Learn Primer - Code Along Part One.srt |
21.77Кб |
| 6. Sentiment Analysis Code Along Movie Review Project.mp4 |
48.72Мб |
| 6. Sentiment Analysis Code Along Movie Review Project.srt |
10.17Кб |
| 6. Tokenization - Part Two.mp4 |
45.85Мб |
| 6. Tokenization - Part Two.srt |
8.62Кб |
| 6. Visualizing Named Entity Recognition.mp4 |
51.64Мб |
| 6. Visualizing Named Entity Recognition.srt |
9.97Кб |
| 7. LSTMs, GRU, and Text Generation.mp4 |
49.25Мб |
| 7. LSTMs, GRU, and Text Generation.srt |
15.27Кб |
| 7. Non-negative Matrix Factorization with Python.mp4 |
83.70Мб |
| 7. Non-negative Matrix Factorization with Python.srt |
15.93Кб |
| 7. Python Text Basics - Assessment Overview.mp4 |
20.39Мб |
| 7. Python Text Basics - Assessment Overview.srt |
3.69Кб |
| 7. Scikit-Learn Primer - Code Along Part Two.mp4 |
55.93Мб |
| 7. Scikit-Learn Primer - Code Along Part Two.srt |
11.84Кб |
| 7. Sentence Segmentation.mp4 |
93.70Мб |
| 7. Sentence Segmentation.srt |
20.87Кб |
| 7. Sentiment Analysis Project Assessment.mp4 |
25.10Мб |
| 7. Sentiment Analysis Project Assessment.srt |
4.52Кб |
| 7. Stemming.mp4 |
51.82Мб |
| 7. Stemming.srt |
12.40Кб |
| 8. Lemmatization.mp4 |
45.04Мб |
| 8. Lemmatization.srt |
9.21Кб |
| 8. Part Of Speech Assessment.mp4 |
18.85Мб |
| 8. Part Of Speech Assessment.srt |
3.74Кб |
| 8. Python Text Basics - Assessment Solutions.mp4 |
50.02Мб |
| 8. Python Text Basics - Assessment Solutions.srt |
9.91Кб |
| 8. Sentiment Analysis Project Assessment - Solutions.mp4 |
88.91Мб |
| 8. Sentiment Analysis Project Assessment - Solutions.srt |
15.09Кб |
| 8. Text Feature Extraction Overview.mp4 |
34.92Мб |
| 8. Text Feature Extraction Overview.srt |
8.42Кб |
| 8. Text Generation with LSTMs with Keras and Python - Part One.mp4 |
100.91Мб |
| 8. Text Generation with LSTMs with Keras and Python - Part One.srt |
22.54Кб |
| 8. Topic Modeling Project - Overview.mp4 |
30.68Мб |
| 8. Topic Modeling Project - Overview.srt |
5.89Кб |
| 9. Part Of Speech Assessment - Solutions.mp4 |
61.04Мб |
| 9. Part Of Speech Assessment - Solutions.srt |
9.91Кб |
| 9. Stop Words.mp4 |
37.32Мб |
| 9. Stop Words.srt |
6.35Кб |
| 9. Text Feature Extraction - Code Along Implementations.mp4 |
108.18Мб |
| 9. Text Feature Extraction - Code Along Implementations.srt |
19.79Кб |
| 9. Text Generation with LSTMs with Keras and Python - Part Two.mp4 |
91.19Мб |
| 9. Text Generation with LSTMs with Keras and Python - Part Two.srt |
17.78Кб |
| 9. Topic Modeling Project - Solutions.mp4 |
56.93Мб |
| 9. Topic Modeling Project - Solutions.srt |
8.91Кб |
| FTUApps.com website coming soon.txt |
94б |
| How you can help Team-FTU.txt |
241б |