Master spaCy Text Analytics: No ML Required (2024 Pro)
Focused View
2:00:11
1 - How this course is different from other spaCy courses.mp4
01:22
2 - The best dataset for learning text analytics.mp4
02:51
3 - Import libraries.mp4
01:42
4 - Splitting text into sentences.mp4
03:19
5 - Splitting text into words.mp4
02:45
6 - Partofspeech tagging.mp4
02:42
7 - Stop words and punctuation.mp4
02:39
8 - Text spans.mp4
05:37
9 - Dependency Parse Tree.mp4
07:04
10 - Named Entity Recognition.mp4
03:50
11 - Token is attributes.mp4
03:43
12 - Token like attributes.mp4
02:24
13 - More token attributes.mp4
02:35
14 - Remaining token attributes.mp4
02:09
15 - Visualizing the Subtree.mp4
02:58
16 - Visualizing the token head.mp4
02:51
17 - Display pipeline.mp4
02:35
18 - Tokenizer is unique.mp4
01:26
19 - tagger.mp4
03:33
20 - parser.mp4
04:06
21 - attributeruler.mp4
01:13
22 - lemmatizer.mp4
03:35
23 - ner.mp4
04:01
24 - Token matcher.mp4
13:16
25 - Dependency Matcher based on position.mp4
18:52
26 - Dependency Matcher based on the parse tree.mp4
12:50
27 - Phrase matcher.mp4
04:13
28 - v1.zip
More details
Course Overview
Learn practical text analytics using spaCy v3.0 without building custom ML models. Extract valuable insights from text data and integrate them with spreadsheet tools for powerful analysis.
What You'll Learn
- Understand and manipulate spaCy document objects
- Master rule-based matching for information extraction
- Utilize spaCy pipelines for efficient text processing
Who This Is For
- Data Science practitioners exploring NLP
- Professionals with text data in spreadsheets
- Analysts needing to extract structured data from paragraphs
Key Benefits
- No machine learning required - get results fast
- Practical skills for immediate application
- Integration with popular data analysis tools
Curriculum Highlights
- spaCy document objects and NLP fundamentals
- spaCy pipelines and processing components
- Rule-based matching techniques
Focused display
Category
- language english
- Training sessions 27
- duration 2:00:11
- Release Date 2025/05/25
