|
Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
|
| 1. Course Summary.mp4 |
12.26MB |
| 1. Course Summary.srt |
4.00KB |
| 1. Introduction.mp4 |
13.27MB |
| 1. Introduction.mp4 |
51.02MB |
| 1. Introduction.mp4 |
45.15MB |
| 1. Introduction.mp4 |
108.06MB |
| 1. Introduction.mp4 |
31.83MB |
| 1. Introduction.mp4 |
20.66MB |
| 1. Introduction.mp4 |
13.70MB |
| 1. Introduction.mp4 |
13.76MB |
| 1. Introduction.mp4 |
29.49MB |
| 1. Introduction.srt |
3.75KB |
| 1. Introduction.srt |
7.53KB |
| 1. Introduction.srt |
7.72KB |
| 1. Introduction.srt |
15.10KB |
| 1. Introduction.srt |
5.87KB |
| 1. Introduction.srt |
5.60KB |
| 1. Introduction.srt |
4.53KB |
| 1. Introduction.srt |
4.30KB |
| 1. Introduction.srt |
5.34KB |
| 1 Unicode Python 2.ipynb |
5.64KB |
| 2. Classification with TextBlob.mp4 |
141.75MB |
| 2. Classification with TextBlob.srt |
16.03KB |
| 2. Course Material & Source Code.html |
51B |
| 2. Learn About LDA Gensim.mp4 |
95.60MB |
| 2. Learn About LDA Gensim.srt |
11.58KB |
| 2. Learn About pyspotlight.mp4 |
32.18MB |
| 2. Learn About pyspotlight.srt |
4.84KB |
| 2. Learn About Word Vectors.mp4 |
21.12MB |
| 2. Learn About Word Vectors.srt |
5.68KB |
| 2. Learn and Understand Sentence Head.mp4 |
21.08MB |
| 2. Learn and Understand Sentence Head.srt |
3.70KB |
| 2. Learn How to Work with Unicode.mp4 |
51.22MB |
| 2. Learn How to Work with Unicode.srt |
7.83KB |
| 2. Machine Learning - Sentiment In VADER.mp4 |
65.40MB |
| 2. Machine Learning - Sentiment In VADER.srt |
8.38KB |
| 2. Text To Symbols - Splitting Sentences.mp4 |
40.18MB |
| 2. Text To Symbols - Splitting Sentences.srt |
5.31KB |
| 2 Unicode Python 3.ipynb |
1.67KB |
| 3. Classification with scikit-learn.mp4 |
94.66MB |
| 3. Classification with scikit-learn.srt |
11.19KB |
| 3. Learn About FRED.mp4 |
34.55MB |
| 3. Learn About FRED.srt |
5.11KB |
| 3. Learn About Google Word Vectors.mp4 |
50.81MB |
| 3. Learn About Google Word Vectors.srt |
6.18KB |
| 3. Learn About LDA pyLDAvis.mp4 |
47.95MB |
| 3. Learn About LDA pyLDAvis.srt |
6.01KB |
| 3. Learn and Understand Named Entities.mp4 |
29.66MB |
| 3. Learn and Understand Named Entities.srt |
5.20KB |
| 3. Text To Symbols - Filtering Stop Words.mp4 |
25.11MB |
| 3. Text To Symbols - Filtering Stop Words.srt |
3.28KB |
| 4. Subsymbolic - Learn Word Vectors.mp4 |
106.46MB |
| 4. Subsymbolic - Learn Word Vectors.srt |
13.35KB |
| Bonus Resources.txt |
357B |
| Dependency Parsing.ipynb |
5.58KB |
| Entity Recognition.ipynb |
4.51KB |
| FRED.ipynb |
2.79KB |
| Get Bonus Downloads Here.url |
177B |
| Head of a Sentence.ipynb |
2.86KB |
| LDA_with_gensim.ipynb |
21.71KB |
| No Work Files.txt |
0B |
| No Work Files.txt |
0B |
| our_textblob_classifiers.py |
20.05KB |
| pyLDAvis.ipynb |
155.43KB |
| pyspotlight.ipynb |
3.10KB |
| sentences NLTK spaCy.ipynb |
3.42KB |
| Sentiment_VADER.ipynb |
4.16KB |
| stop words in NLTK.ipynb |
6.31KB |
| string processing.ipynb |
7.05KB |
| Text_Classification_with_scikit-learn.ipynb |
88.65KB |
| Text_Classification_With_TextBlob.ipynb |
14.50KB |
| tf-idf Gensim.ipynb |
11.20KB |
| tokens NLTK spaCy.ipynb |
7.93KB |
| Train Word Vectors2.ipynb |
23.49KB |
| Use Google Word Vectors.ipynb |
29.38KB |