首页
磁力链接怎么用
한국어
English
日本語
简体中文
繁體中文
Hands On Natural Language Processing (NLP) using Python
文件类型
收录时间
最后活跃
资源热度
文件大小
文件数量
视频
2020-10-27 03:47
2024-11-10 17:04
202
7.99 GB
85
磁力链接
magnet:?xt=urn:btih:50eee33275fbf8eca4f8ab4a578c16cf762ec088
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjUwZWVlMzMyNzVmYmY4ZWNhNGY4YWI0YTU3OGMxNmNmNzYyZWMwODhaWg==
二维码链接
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
3条线路均为国内外知名下载网站种子链接,内容跟本站无关!
相关链接
Hands
On
Natural
Language
Processing
NLP
using
Python
文件列表
Hands On Natural Language Processing (NLP) using Python/1. Introduction to the Course/1. What is NLP.mp4
75.75MB
Hands On Natural Language Processing (NLP) using Python/1. Introduction to the Course/2. Getting the Course Resources.mp4
18.23MB
Hands On Natural Language Processing (NLP) using Python/2. Getting the required softwares/1. Installing Anaconda Python.mp4
33.41MB
Hands On Natural Language Processing (NLP) using Python/2. Getting the required softwares/3. A tour of Spyder IDE.mp4
46.82MB
Hands On Natural Language Processing (NLP) using Python/3. Python Crash Course/1. Variables and Operations in Python.mp4
60.28MB
Hands On Natural Language Processing (NLP) using Python/3. Python Crash Course/2. Conditional Statements.mp4
63.77MB
Hands On Natural Language Processing (NLP) using Python/3. Python Crash Course/3. Introduction to Loops.mp4
64.77MB
Hands On Natural Language Processing (NLP) using Python/3. Python Crash Course/4. Loop Control Statements.mp4
62.02MB
Hands On Natural Language Processing (NLP) using Python/3. Python Crash Course/5. Python Data Structures - Lists.mp4
129.2MB
Hands On Natural Language Processing (NLP) using Python/3. Python Crash Course/6. Python Data Structures - Tuples.mp4
60.92MB
Hands On Natural Language Processing (NLP) using Python/3. Python Crash Course/7. Python Data Structures - Dictionaries.mp4
125.07MB
Hands On Natural Language Processing (NLP) using Python/3. Python Crash Course/8. Console and File IO in Python.mp4
97MB
Hands On Natural Language Processing (NLP) using Python/3. Python Crash Course/9. Introduction to Functions.mp4
76.76MB
Hands On Natural Language Processing (NLP) using Python/3. Python Crash Course/10. Introduction to Classes and Objects.mp4
92.37MB
Hands On Natural Language Processing (NLP) using Python/3. Python Crash Course/11. List Comprehension.mp4
165.47MB
Hands On Natural Language Processing (NLP) using Python/4. Regular Expressions/1. Introduction to Regular Expressions.mp4
62.85MB
Hands On Natural Language Processing (NLP) using Python/4. Regular Expressions/2. Finding Patterns in Text Part 1.mp4
79.5MB
Hands On Natural Language Processing (NLP) using Python/4. Regular Expressions/3. Finding Patterns in Text Part 2.mp4
81.46MB
Hands On Natural Language Processing (NLP) using Python/4. Regular Expressions/4. Substituting Patterns in Text.mp4
54.25MB
Hands On Natural Language Processing (NLP) using Python/4. Regular Expressions/5. Shorthand Character Classes.mp4
182.43MB
Hands On Natural Language Processing (NLP) using Python/4. Regular Expressions/7. Preprocessing using Regex.mp4
71.64MB
Hands On Natural Language Processing (NLP) using Python/5. Numpy and Pandas/1. Introduction to Numpy.mp4
280.68MB
Hands On Natural Language Processing (NLP) using Python/5. Numpy and Pandas/2. Introduction to Pandas.mp4
251.62MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/1. Installing NLTK in Python.mp4
29.31MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/2. Tokenizing Words and Sentences.mp4
74.63MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/4. Introduction to Stemming and Lemmatization.mp4
107.55MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/5. Stemming using NLTK.mp4
133.54MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/6. Lemmatization using NLTK.mp4
76.47MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/7. Stop word removal using NLTK.mp4
139.8MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/8. Parts Of Speech Tagging.mp4
109.11MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/10. Named Entity Recognition.mp4
56.08MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/11. Text Modelling using Bag of Words Model.mp4
146.1MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/12. Building the BOW Model Part 1.mp4
88.59MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/13. Building the BOW Model Part 2.mp4
82.17MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/14. Building the BOW Model Part 3.mp4
77MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/15. Building the BOW Model Part 4.mp4
108.07MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/16. Text Modelling using TF-IDF Model.mp4
223.04MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/17. Building the TF-IDF Model Part 1.mp4
109.88MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/18. Building the TF-IDF Model Part 2.mp4
122.73MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/19. Building the TF-IDF Model Part 3.mp4
109.84MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/20. Building the TF-IDF Model Part 4.mp4
64.61MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/21. Understanding the N-Gram Model.mp4
259.18MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/22. Building Character N-Gram Model.mp4
185.73MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/23. Building Word N-Gram Model.mp4
160.51MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/24. Understanding Latent Semantic Analysis.mp4
194.47MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/25. LSA in Python Part 1.mp4
295.56MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/26. LSA in Python Part 2.mp4
190.24MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/27. Word Synonyms and Antonyms using NLTK.mp4
117.98MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/28. Word Negation Tracking in Python Part 1.mp4
90.71MB
Hands On Natural Language Processing (NLP) using Python/6. NLP Core/29. Word Negation Tracking in Python Part 2.mp4
58.63MB
Hands On Natural Language Processing (NLP) using Python/7. Project 1 - Text Classification/1. Getting the data for Text Classification.mp4
62.12MB
Hands On Natural Language Processing (NLP) using Python/7. Project 1 - Text Classification/3. Importing the dataset.mp4
57.53MB
Hands On Natural Language Processing (NLP) using Python/7. Project 1 - Text Classification/4. Persisting the dataset.mp4
71.63MB
Hands On Natural Language Processing (NLP) using Python/7. Project 1 - Text Classification/5. Preprocessing the data.mp4
67.38MB
Hands On Natural Language Processing (NLP) using Python/7. Project 1 - Text Classification/6. Transforming data into BOW Model.mp4
114.68MB
Hands On Natural Language Processing (NLP) using Python/7. Project 1 - Text Classification/7. Transform BOW model into TF-IDF Model.mp4
47.38MB
Hands On Natural Language Processing (NLP) using Python/7. Project 1 - Text Classification/8. Creating training and test set.mp4
71.77MB
Hands On Natural Language Processing (NLP) using Python/7. Project 1 - Text Classification/9. Understanding Logistic Regression.mp4
201.58MB
Hands On Natural Language Processing (NLP) using Python/7. Project 1 - Text Classification/10. Training our classifier.mp4
30.69MB
Hands On Natural Language Processing (NLP) using Python/7. Project 1 - Text Classification/11. Testing Model performance.mp4
84.05MB
Hands On Natural Language Processing (NLP) using Python/7. Project 1 - Text Classification/12. Saving our Model.mp4
96.63MB
Hands On Natural Language Processing (NLP) using Python/7. Project 1 - Text Classification/13. Importing and using our Model.mp4
56.12MB
Hands On Natural Language Processing (NLP) using Python/8. Project 2 - Twitter Sentiment Analysis/1. Setting up Twitter Application.mp4
28.34MB
Hands On Natural Language Processing (NLP) using Python/8. Project 2 - Twitter Sentiment Analysis/2. Initializing Tokens.mp4
35.09MB
Hands On Natural Language Processing (NLP) using Python/8. Project 2 - Twitter Sentiment Analysis/3. Client Authentication.mp4
46.71MB
Hands On Natural Language Processing (NLP) using Python/8. Project 2 - Twitter Sentiment Analysis/4. Fetching real time tweets.mp4
80.92MB
Hands On Natural Language Processing (NLP) using Python/8. Project 2 - Twitter Sentiment Analysis/5. Loading TF-IDF Model and Classifier.mp4
36.03MB
Hands On Natural Language Processing (NLP) using Python/8. Project 2 - Twitter Sentiment Analysis/6. Preprocessing the tweets.mp4
133.06MB
Hands On Natural Language Processing (NLP) using Python/8. Project 2 - Twitter Sentiment Analysis/7. Predicting sentiments of tweets.mp4
38.12MB
Hands On Natural Language Processing (NLP) using Python/8. Project 2 - Twitter Sentiment Analysis/8. Plotting the results.mp4
102.74MB
Hands On Natural Language Processing (NLP) using Python/9. Project 3 - Text Summarization/1. Understanding Text Summarization.mp4
95.68MB
Hands On Natural Language Processing (NLP) using Python/9. Project 3 - Text Summarization/2. Fetching article data from the web.mp4
43.91MB
Hands On Natural Language Processing (NLP) using Python/9. Project 3 - Text Summarization/3. Parsing the data using Beautiful Soup.mp4
94.27MB
Hands On Natural Language Processing (NLP) using Python/9. Project 3 - Text Summarization/4. Preprocessing the data.mp4
48.27MB
Hands On Natural Language Processing (NLP) using Python/9. Project 3 - Text Summarization/5. Tokenizing Article into sentences.mp4
50.67MB
Hands On Natural Language Processing (NLP) using Python/9. Project 3 - Text Summarization/6. Building the histogram.mp4
58.55MB
Hands On Natural Language Processing (NLP) using Python/9. Project 3 - Text Summarization/7. Calculating the sentence scores.mp4
99.83MB
Hands On Natural Language Processing (NLP) using Python/9. Project 3 - Text Summarization/8. Getting the summary.mp4
76.94MB
Hands On Natural Language Processing (NLP) using Python/10. Word2Vec Analysis/1. Understanding Word Vectors.mp4
160.61MB
Hands On Natural Language Processing (NLP) using Python/10. Word2Vec Analysis/2. Importing the data.mp4
54.92MB
Hands On Natural Language Processing (NLP) using Python/10. Word2Vec Analysis/3. Preparing the data.mp4
38.5MB
Hands On Natural Language Processing (NLP) using Python/10. Word2Vec Analysis/4. Training the Word2Vec Model.mp4
33.81MB
Hands On Natural Language Processing (NLP) using Python/10. Word2Vec Analysis/5. Testing Model Performance.mp4
54.49MB
Hands On Natural Language Processing (NLP) using Python/10. Word2Vec Analysis/6. Improving the Model.mp4
108.23MB
Hands On Natural Language Processing (NLP) using Python/10. Word2Vec Analysis/7. Exploring Pre-trained Models.mp4
50.42MB
友情提示
不会用的朋友看这里 把磁力链接复制到离线下载,或者bt下载软件里即可下载文件,或者直接复制迅雷链接到迅雷里下载! 亲,你造吗?将网页分享给您的基友,下载的人越多速度越快哦!
违规内容投诉邮箱:
[email protected]
概述 838888磁力搜索是一个磁力链接搜索引擎,是学术研究的副产品,用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络,实时的自动采集数据,仅存储文件的标题、大小、文件列表、文件标识符(磁力链接)等基础信息 838888磁力搜索不下载任何真实资源,无法判断资源的合法性及真实性,使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源,不提供Tracker服务,不提供种子文件的下载,这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统