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种子名称： [GigaCourse.Com] Udemy - Machine Learning Natural Language Processing in Python (V2)
文件类型： 视频
文件数目： 68个文件
文件大小： 2.89 GB
收录时间： 2023-6-16 19:01
已经下载： 3次
资源热度： 123
最近下载： 2024-6-2 10:05

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[GigaCourse.Com] Udemy - Machine Learning Natural Language Processing in Python (V2).torrent

01 - Introduction/001 Introduction and Outline.mp472.97MB

01 - Introduction/002 Where to get the Code.mp462.9MB

01 - Introduction/003 Are You Beginner, Intermediate, or Advanced All are OK!.mp426.66MB

02 - Vector Models and Text Preprocessing/001 Vector Models & Text Preprocessing Intro.mp417.52MB

02 - Vector Models and Text Preprocessing/002 Basic Definitions for NLP.mp428.36MB

02 - Vector Models and Text Preprocessing/003 What is a Vector.mp448.93MB

02 - Vector Models and Text Preprocessing/004 Bag of Words.mp413.85MB

02 - Vector Models and Text Preprocessing/005 Count Vectorizer (Theory).mp457.43MB

02 - Vector Models and Text Preprocessing/006 Tokenization.mp473.51MB

02 - Vector Models and Text Preprocessing/007 Stopwords.mp413.1MB

02 - Vector Models and Text Preprocessing/008 Stemming and Lemmatization.mp457.92MB

02 - Vector Models and Text Preprocessing/009 Stemming and Lemmatization Demo.mp474.84MB

02 - Vector Models and Text Preprocessing/010 Count Vectorizer (Code).mp4101.98MB

02 - Vector Models and Text Preprocessing/011 Vector Similarity.mp445.11MB

02 - Vector Models and Text Preprocessing/012 TF-IDF (Theory).mp458.57MB

02 - Vector Models and Text Preprocessing/013 (Interactive) Recommender Exercise Prompt.mp413.38MB

02 - Vector Models and Text Preprocessing/014 TF-IDF (Code).mp4124.92MB

02 - Vector Models and Text Preprocessing/015 Word-to-Index Mapping.mp447.58MB

02 - Vector Models and Text Preprocessing/016 How to Build TF-IDF From Scratch.mp479.79MB

02 - Vector Models and Text Preprocessing/017 Neural Word Embeddings.mp445.54MB

02 - Vector Models and Text Preprocessing/018 Neural Word Embeddings Demo.mp466.84MB

02 - Vector Models and Text Preprocessing/019 Vector Models & Text Preprocessing Summary.mp420.85MB

03 - Probabilistic Models (Introduction)/001 Probabilistic Models (Introduction).mp426.91MB

04 - Markov Models (Intermediate)/001 Markov Models Section Introduction.mp413.09MB

04 - Markov Models (Intermediate)/002 The Markov Property.mp432.25MB

04 - Markov Models (Intermediate)/003 The Markov Model.mp445.32MB

04 - Markov Models (Intermediate)/004 Probability Smoothing and Log-Probabilities.mp432.87MB

04 - Markov Models (Intermediate)/005 Building a Text Classifier (Theory).mp428.92MB

04 - Markov Models (Intermediate)/006 Building a Text Classifier (Exercise Prompt).mp416.11MB

04 - Markov Models (Intermediate)/007 Building a Text Classifier (Code pt 1).mp457.68MB

04 - Markov Models (Intermediate)/008 Building a Text Classifier (Code pt 2).mp472.22MB

04 - Markov Models (Intermediate)/009 Language Model (Theory).mp444.96MB

04 - Markov Models (Intermediate)/010 Language Model (Exercise Prompt).mp428.8MB

04 - Markov Models (Intermediate)/011 Language Model (Code pt 1).mp462.83MB

04 - Markov Models (Intermediate)/012 Language Model (Code pt 2).mp452.43MB

04 - Markov Models (Intermediate)/013 Markov Models Section Summary.mp415.56MB

05 - Article Spinner (Intermediate)/001 Article Spinning - Problem Description.mp441.92MB

05 - Article Spinner (Intermediate)/002 Article Spinning - N-Gram Approach.mp415.92MB

05 - Article Spinner (Intermediate)/003 Article Spinner Exercise Prompt.mp424.62MB

05 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1).mp495.89MB

05 - Article Spinner (Intermediate)/005 Article Spinner in Python (pt 2).mp475.37MB

05 - Article Spinner (Intermediate)/006 Case Study Article Spinning Gone Wrong.mp428.23MB

06 - Cipher Decryption (Advanced)/001 Section Introduction.mp426.32MB

06 - Cipher Decryption (Advanced)/002 Ciphers.mp417.21MB

06 - Cipher Decryption (Advanced)/003 Language Models (Review).mp465.53MB

06 - Cipher Decryption (Advanced)/004 Genetic Algorithms.mp4105.16MB

06 - Cipher Decryption (Advanced)/005 Code Preparation.mp420.63MB

06 - Cipher Decryption (Advanced)/006 Code pt 1.mp415.98MB

06 - Cipher Decryption (Advanced)/007 Code pt 2.mp439.13MB

06 - Cipher Decryption (Advanced)/008 Code pt 3.mp429.54MB

06 - Cipher Decryption (Advanced)/009 Code pt 4.mp425.62MB

06 - Cipher Decryption (Advanced)/010 Code pt 5.mp440.96MB

06 - Cipher Decryption (Advanced)/011 Code pt 6.mp413.31MB

06 - Cipher Decryption (Advanced)/012 Section Conclusion.mp424.24MB

07 - Machine Learning Models (Introduction)/001 Machine Learning Models (Introduction).mp423.36MB

08 - Spam Detection/001 Spam Detection - Problem Description.mp431.33MB

08 - Spam Detection/002 Naive Bayes Intuition.mp451.33MB

08 - Spam Detection/003 Spam Detection - Exercise Prompt.mp48.73MB

08 - Spam Detection/004 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp460.21MB

08 - Spam Detection/005 Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp427.32MB

08 - Spam Detection/006 Spam Detection in Python.mp4107.6MB

09 - Sentiment Analysis/001 Sentiment Analysis - Problem Description.mp442.7MB

09 - Sentiment Analysis/002 Logistic Regression Intuition (pt 1).mp463.57MB

09 - Sentiment Analysis/003 Multiclass Logistic Regression (pt 2).mp423.61MB

09 - Sentiment Analysis/004 Logistic Regression Training and Interpretation (pt 3).mp439.63MB

09 - Sentiment Analysis/005 Sentiment Analysis - Exercise Prompt.mp416.55MB

09 - Sentiment Analysis/006 Sentiment Analysis in Python (pt 1).mp424.83MB

09 - Sentiment Analysis/007 Sentiment Analysis in Python (pt 2).mp451.96MB