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Udemy - Natural Language Processing in Python (NEW for 2025!) (5.2025)

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Udemy - Natural Language Processing in Python (NEW for 2025!) (5.2025)

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种子哈希:520f47f62c2d8215bbf4e751c4a6683c8029dfab
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收录时间:2025-12-05
最近下载:2025-12-13

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文件列表

  • 8 - Transformers with Hugging Face/32 -PRO TIP Recommender Function.mp4 125.0 MB
  • 8 - Transformers with Hugging Face/16 -SOLUTION Named Entity Recognition.mp4 119.4 MB
  • 5 - NLP with Machine Learning/22 -SOLUTION Text Classification.mp4 119.2 MB
  • 5 - NLP with Machine Learning/33 -SOLUTION Topic Modeling.mp4 115.4 MB
  • 6 - Neural Networks & Deep Learning/15 -Neural Network Training Visually Explained.mp4 91.0 MB
  • 4 - Text Preprocessing/11 -SOLUTION Text Preprocessing with Pandas.mp4 89.9 MB
  • 5 - NLP with Machine Learning/11 -SOLUTION Sentiment Analysis.mp4 79.2 MB
  • 8 - Transformers with Hugging Face/10 -SOLUTION Sentiment Analysis with LLMs.mp4 78.3 MB
  • 5 - NLP with Machine Learning/19 -PRO TIP Compare ML Models.mp4 76.9 MB
  • 8 - Transformers with Hugging Face/30 -DEMO Feature Extraction & Embeddings.mp4 76.6 MB
  • 8 - Transformers with Hugging Face/23 -DEMO Multiple Pipelines.mp4 75.4 MB
  • 4 - Text Preprocessing/22 -SOLUTION Text Preprocessing with spaCy.mp4 73.8 MB
  • 5 - NLP with Machine Learning/28 -PRO TIP Display Topics Function.mp4 72.8 MB
  • 5 - NLP with Machine Learning/16 -DEMO Naïve Bayes Setup.mp4 72.7 MB
  • 5 - NLP with Machine Learning/29 -DEMO Tune an NMF Model.mp4 71.1 MB
  • 7 - Transformers & LLMs/6 -Transformer Architecture Attention.mp4 65.5 MB
  • 8 - Transformers with Hugging Face/7 -DEMO Compare Sentiment Scores.mp4 64.6 MB
  • 1 - Getting Started/1 -Course Introduction.mp4 62.4 MB
  • 8 - Transformers with Hugging Face/5 -DEMO Basic Sentiment Analysis Pipeline.mp4 61.9 MB
  • 8 - Transformers with Hugging Face/31 -DEMO Cosine & Document Similarity.mp4 61.0 MB
  • 4 - Text Preprocessing/8 -DEMO Text Preprocessing with Pandas.mp4 59.6 MB
  • 4 - Text Preprocessing/29 -SOLUTION Count Vectorizer.mp4 59.2 MB
  • 4 - Text Preprocessing/19 -DEMO Parts of Speech Tagging.mp4 57.6 MB
  • 6 - Neural Networks & Deep Learning/19 -Deep Learning Architectures.mp4 57.6 MB
  • 7 - Transformers & LLMs/11 -Large Language Models (LLMs).mp4 57.3 MB
  • 7 - Transformers & LLMs/5 -Transformer Architecture Embeddings.mp4 56.3 MB
  • 4 - Text Preprocessing/18 -PRO TIP Use the Apply Method.mp4 55.5 MB
  • 6 - Neural Networks & Deep Learning/4 -Logistic Regression Refresher.mp4 55.3 MB
  • 8 - Transformers with Hugging Face/18 -DEMO Zero-Shot Classification.mp4 55.2 MB
  • 8 - Transformers with Hugging Face/34 -SOLUTION Document Similarity.mp4 53.7 MB
  • 8 - Transformers with Hugging Face/14 -DEMO Clean NER Output.mp4 53.3 MB
  • 4 - Text Preprocessing/34 -SOLUTION TF-IDF Vectorizer.mp4 53.1 MB
  • 5 - NLP with Machine Learning/17 -DEMO Naïve Bayes Workflow.mp4 53.0 MB
  • 2 - Installation & Setup/8 -DEMO Create a Conda Environment.mp4 52.5 MB
  • 4 - Text Preprocessing/17 -DEMO Tokens, Lemmas & Stop Words.mp4 50.4 MB
  • 9 - NLP Review & Next Steps/2 -NLP Next Steps.mp4 50.1 MB
  • 6 - Neural Networks & Deep Learning/17 -SOLUTION Neural Network Training.mp4 47.6 MB
  • 5 - NLP with Machine Learning/6 -DEMO Create a New Environment.mp4 47.1 MB
  • 6 - Neural Networks & Deep Learning/20 -Deep Learning in Practice.mp4 46.5 MB
  • 6 - Neural Networks & Deep Learning/11 -DEMO Neural Networks in Python.mp4 45.9 MB
  • 4 - Text Preprocessing/24 -Count Vectorizer in Python.mp4 45.5 MB
  • 4 - Text Preprocessing/20 -DEMO Create an NLP Pipeline.mp4 45.0 MB
  • 5 - NLP with Machine Learning/14 -Naïve Bayes.mp4 43.8 MB
  • 5 - NLP with Machine Learning/27 -DEMO Fit an NMF Model.mp4 43.6 MB
  • 8 - Transformers with Hugging Face/20 -SOLUTION Zero-Shot Classification.mp4 41.5 MB
  • 8 - Transformers with Hugging Face/25 -SOLUTION Text Summarization.mp4 41.5 MB
  • 4 - Text Preprocessing/32 -DEMO TF-IDF Vectorizer.mp4 41.2 MB
  • 4 - Text Preprocessing/9 -PRO TIP Create a Function.mp4 40.5 MB
  • 5 - NLP with Machine Learning/31 -PRO TIP Combine ML Algorithms.mp4 39.8 MB
  • 8 - Transformers with Hugging Face/8 -PRO TIP Speed Up Transformers Code.mp4 39.3 MB
  • 4 - Text Preprocessing/7 -DEMO Text Preprocessing Setup.mp4 39.0 MB
  • 6 - Neural Networks & Deep Learning/5 -Logistic Regression Visually Explained.mp4 37.9 MB
  • 5 - NLP with Machine Learning/9 -DEMO Sentiment Analysis in Python.mp4 37.3 MB
  • 6 - Neural Networks & Deep Learning/6 -Neural Networks Visually Explained.mp4 37.1 MB
  • 4 - Text Preprocessing/30 -TF-IDF.mp4 37.0 MB
  • 6 - Neural Networks & Deep Learning/24 -Key Takeaways.mp4 37.0 MB
  • 4 - Text Preprocessing/31 -TF-IDF Vectorizer in Python.mp4 36.9 MB
  • 7 - Transformers & LLMs/13 -SOLUTION Transformers & LLMs Concepts.mp4 36.0 MB
  • 8 - Transformers with Hugging Face/3 -DEMO Create a New Environment.mp4 35.3 MB
  • 8 - Transformers with Hugging Face/6 -DEMO Timing, Logging and Device Setup.mp4 35.2 MB
  • 7 - Transformers & LLMs/10 -Encoders & Decoders.mp4 35.2 MB
  • 6 - Neural Networks & Deep Learning/10 -Neural Networks in Python.mp4 35.0 MB
  • 6 - Neural Networks & Deep Learning/13 -PRO TIP NN Notation & Matrices.mp4 33.6 MB
  • 8 - Transformers with Hugging Face/11 -Named Entity Recognition.mp4 33.1 MB
  • 6 - Neural Networks & Deep Learning/9 -SOLUTION Neural Network Components.mp4 33.0 MB
  • 8 - Transformers with Hugging Face/2 -Hugging Face Overview.mp4 32.8 MB
  • 7 - Transformers & LLMs/8 -Transformers Summary.mp4 32.3 MB
  • 4 - Text Preprocessing/5 -SOLUTION Create a New Environment.mp4 32.1 MB
  • 8 - Transformers with Hugging Face/4 -Sentiment Analysis with LLMs.mp4 31.3 MB
  • 4 - Text Preprocessing/25 -DEMO Count Vectorizer.mp4 31.3 MB
  • 6 - Neural Networks & Deep Learning/21 -Pretrained Deep Learning Models.mp4 30.8 MB
  • 8 - Transformers with Hugging Face/22 -DEMO Basic Text Summarization Pipeline.mp4 29.9 MB
  • 2 - Installation & Setup/4 -Launching Jupyter Notebook.mp4 29.1 MB
  • 4 - Text Preprocessing/26 -DEMO Count Vectorizer Parameters.mp4 29.1 MB
  • 8 - Transformers with Hugging Face/28 -Cosine Similarity.mp4 27.0 MB
  • 3 - Natural Language Processing 101/3 -History of NLP.mp4 26.9 MB
  • 4 - Text Preprocessing/6 -Text Preprocessing with Pandas.mp4 26.8 MB
  • 4 - Text Preprocessing/23 -Vectorization.mp4 26.4 MB
  • 4 - Text Preprocessing/35 -Key Takeaways.mp4 26.3 MB
  • 8 - Transformers with Hugging Face/17 -Zero-Shot Classification.mp4 26.2 MB
  • 2 - Installation & Setup/5 -Conda Environments.mp4 26.0 MB
  • 6 - Neural Networks & Deep Learning/12 -DEMO Neural Network Matrices.mp4 25.9 MB
  • 9 - NLP Review & Next Steps/1 -NLP Review & Flow Chart.mp4 24.5 MB
  • 7 - Transformers & LLMs/7 -Transformer Architecture Feedforward Neural Network.mp4 23.9 MB
  • 6 - Neural Networks & Deep Learning/2 -Modern NLP Overview.mp4 23.8 MB
  • 5 - NLP with Machine Learning/25 -Non-Negative Matrix Factorization (NMF).mp4 23.7 MB
  • 6 - Neural Networks & Deep Learning/14 -How a Neural Network is Trained.mp4 23.5 MB
  • 4 - Text Preprocessing/10 -ASSIGNMENT Text Preprocessing with Pandas.mp4 23.3 MB
  • 8 - Transformers with Hugging Face/21 -Text Summarization.mp4 23.0 MB
  • 6 - Neural Networks & Deep Learning/23 -SOLUTION Deep Learning Concepts.mp4 23.0 MB
  • 8 - Transformers with Hugging Face/26 -PRO TIP Text Generation.mp4 22.1 MB
  • 7 - Transformers & LLMs/9 -Breaking Down the Transformer Diagram.mp4 22.0 MB
  • 8 - Transformers with Hugging Face/13 -DEMO Hugging Face Model Hub.mp4 21.7 MB
  • 8 - Transformers with Hugging Face/12 -DEMO Basic NER Pipeline.mp4 21.3 MB
  • 5 - NLP with Machine Learning/18 -DEMO Naïve Bayes Prediction.mp4 21.0 MB
  • 6 - Neural Networks & Deep Learning/7 -Neural Network Summary.mp4 20.5 MB
  • 1 - Getting Started/3 -Course Structure & Outline.mp4 19.6 MB
  • 8 - Transformers with Hugging Face/35 -Key Takeaways.mp4 18.8 MB
  • 2 - Installation & Setup/6 -Conda Workflow.mp4 18.8 MB
  • 7 - Transformers & LLMs/14 -Key Takeaways.mp4 18.7 MB
  • 8 - Transformers with Hugging Face/27 -Document Embeddings.mp4 18.0 MB
  • 5 - NLP with Machine Learning/20 -Text Classification Next Steps.mp4 17.9 MB
  • 5 - NLP with Machine Learning/15 -Naïve Bayes in Python.mp4 17.8 MB
  • 5 - NLP with Machine Learning/3 -Common ML Algorithms for NLP.mp4 17.4 MB
  • 2 - Installation & Setup/3 -Installing Anaconda.mp4 17.3 MB
  • 5 - NLP with Machine Learning/34 -Key Takeaways.mp4 17.3 MB
  • 2 - Installation & Setup/7 -Conda Commands.mp4 17.1 MB
  • 4 - Text Preprocessing/2 -NLP Pipeline.mp4 16.0 MB
  • 7 - Transformers & LLMs/4 -Transformer Architecture.mp4 15.8 MB
  • 5 - NLP with Machine Learning/8 -Sentiment Analysis in Python.mp4 15.4 MB
  • 1 - Getting Started/4 -Natural Language Processing in Python.pdf 15.3 MB
  • 5 - NLP with Machine Learning/2 -What is Machine Learning.mp4 14.9 MB
  • 4 - Text Preprocessing/3 -Text Preprocessing Overview.mp4 14.5 MB
  • 7 - Transformers & LLMs/3 -Transformers & LLMs Overview.mp4 14.4 MB
  • 3 - Natural Language Processing 101/5 -NLP Libraries in Python.mp4 14.3 MB
  • 4 - Text Preprocessing/14 -Lemmatization.mp4 14.1 MB
  • 5 - NLP with Machine Learning/26 -NMF in Python.mp4 14.0 MB
  • 6 - Neural Networks & Deep Learning/18 -Intro to Deep Learning.mp4 13.4 MB
  • 5 - NLP with Machine Learning/4 -Traditional NLP Overview.mp4 13.2 MB
  • 8 - Transformers with Hugging Face/29 -Document Similarity with Embeddings.mp4 13.2 MB
  • 2 - Installation & Setup/2 -Anaconda Overview.mp4 12.9 MB
  • 3 - Natural Language Processing 101/6 -Key Takeaways.mp4 12.6 MB
  • 3 - Natural Language Processing 101/2 -Intro to NLP.mp4 12.2 MB
  • 5 - NLP with Machine Learning/13 -Text Classification Algorithms.mp4 12.0 MB
  • 4 - Text Preprocessing/16 -Parts of Speech Tagging.mp4 11.9 MB
  • 8 - Transformers with Hugging Face/1 -Section Introduction.mp4 11.8 MB
  • 7 - Transformers & LLMs/1 -Section Introduction.mp4 11.3 MB
  • 4 - Text Preprocessing/27 -PRO TIP Exploratory Data Analysis.mp4 11.1 MB
  • 5 - NLP with Machine Learning/30 -Topic Modeling Next Steps.mp4 10.7 MB
  • 6 - Neural Networks & Deep Learning/3 -Intro to Neural Networks.mp4 10.4 MB
  • 5 - NLP with Machine Learning/32 -ASSIGNMENT Topic Modeling.mp4 10.4 MB
  • 4 - Text Preprocessing/13 -Tokenization.mp4 9.6 MB
  • 5 - NLP with Machine Learning/23 -Topic Modeling Basics.mp4 9.5 MB
  • 5 - NLP with Machine Learning/24 -Topic Modeling Algorithms.mp4 9.5 MB
  • 4 - Text Preprocessing/12 -Text Preprocessing with spaCy.mp4 9.5 MB
  • 3 - Natural Language Processing 101/4 -NLP Applications & Techniques.mp4 9.3 MB
  • 5 - NLP with Machine Learning/5 -Traditional vs Modern NLP.mp4 9.2 MB
  • 6 - Neural Networks & Deep Learning/1 -Section Introduction.mp4 8.9 MB
  • 5 - NLP with Machine Learning/12 -Text Classification Basics.mp4 8.6 MB
  • 8 - Transformers with Hugging Face/9 -ASSIGNMENT Sentiment Analysis with LLMs.mp4 8.5 MB
  • 4 - Text Preprocessing/4 -ASSIGNMENT Create a New Environment.mp4 8.2 MB
  • 5 - NLP with Machine Learning/7 -Sentiment Analysis.mp4 8.1 MB
  • 2 - Installation & Setup/9 -Environments in This Course.mp4 7.6 MB
  • 4 - Text Preprocessing/28 -ASSIGNMENT Count Vectorizer.mp4 7.5 MB
  • 5 - NLP with Machine Learning/1 -Section Introduction.mp4 7.5 MB
  • 4 - Text Preprocessing/33 -ASSIGNMENT TF-IDF Vectorizer.mp4 7.2 MB
  • 2 - Installation & Setup/1 -Section Introduction.mp4 6.3 MB
  • 7 - Transformers & LLMs/2 -Modern NLP Recap.mp4 6.2 MB
  • 4 - Text Preprocessing/15 -Stop Words.mp4 5.6 MB
  • 4 - Text Preprocessing/1 -Section Introduction.mp4 5.6 MB
  • 5 - NLP with Machine Learning/10 -ASSIGNMENT Sentiment Analysis.mp4 5.6 MB
  • 1 - Getting Started/4 -The Course Assignments.mp4 5.3 MB
  • 1 - Getting Started/2 -About This Series.mp4 4.6 MB
  • 8 - Transformers with Hugging Face/33 -ASSIGNMENT Document Similarity.mp4 4.2 MB
  • 8 - Transformers with Hugging Face/15 -ASSIGNMENT Named Entity Recognition.mp4 4.2 MB
  • 5 - NLP with Machine Learning/21 -ASSIGNMENT Text Classification.mp4 3.8 MB
  • 4 - Text Preprocessing/21 -ASSIGNMENT Text Preprocessing with spaCy.mp4 3.8 MB
  • 6 - Neural Networks & Deep Learning/8 -EXERCISE Neural Network Components.mp4 3.0 MB
  • 3 - Natural Language Processing 101/1 -Section Introduction.mp4 2.9 MB
  • 8 - Transformers with Hugging Face/19 -ASSIGNMENT Zero-Shot Classification.mp4 2.8 MB
  • 7 - Transformers & LLMs/12 -EXERCISE Transformers & LLMs Concepts.mp4 2.8 MB
  • 6 - Neural Networks & Deep Learning/16 -EXERCISE Neural Network Training.mp4 2.2 MB
  • 8 - Transformers with Hugging Face/24 -ASSIGNMENT Text Summarization.mp4 2.1 MB
  • 6 - Neural Networks & Deep Learning/22 -EXERCISE Deep Learning Concepts.mp4 2.0 MB
  • 1 - Getting Started/Course Materials/Exercises/Course_Exercises_and_Solutions.pptx 463.5 kB
  • 1 - Getting Started/Course Materials/Course Assignment Notebooks/section3_solutions.ipynb 192.6 kB
  • 1 - Getting Started/Course Materials/Course Assignment Notebooks/section4_solutions.ipynb 143.8 kB
  • 1 - Getting Started/Course Materials/Data/Popchip_Reviews_Sentiment.xlsx 143.1 kB
  • 1 - Getting Started/Course Materials/Data/Popchip_Reviews.xlsx 137.4 kB
  • 1 - Getting Started/Course Materials/Slide and Demo Notebooks/section7_hugging_face_transformers_code.ipynb 130.4 kB
  • 1 - Getting Started/Course Materials/Data/movie_reviews_sentiment.csv 123.9 kB
  • 1 - Getting Started/Course Materials/Data/movie_reviews.csv 122.7 kB
  • 1 - Getting Started/Course Materials/Slide and Demo Notebooks/section4_nlp_with_machine_learning_code.ipynb 98.0 kB
  • 1 - Getting Started/Course Materials/Slide and Demo Notebooks/section3_text_preprocessing_code.ipynb 95.8 kB
  • 1 - Getting Started/Course Materials/Slide and Demo Notebooks/neural_network_lemonade_example.png 87.4 kB
  • 1 - Getting Started/Course Materials/Course Assignment Notebooks/section7_solutions.ipynb 81.7 kB
  • 1 - Getting Started/Course Materials/Data/childrens_books.csv 49.5 kB
  • 1 - Getting Started/Course Materials/Slide and Demo Notebooks/section5_neural_networks_and_deep_learning_code.ipynb 40.6 kB
  • 9 - NLP Review & Next Steps/3 - BONUS LESSON.html 12.8 kB
  • 1 - Getting Started/Course Materials/Environments/nlp_transformers.yml 8.4 kB
  • 1 - Getting Started/Course Materials/DS_Store 8.2 kB
  • 1 - Getting Started/Course Materials/Environments/nlp_machine_learning.yml 7.6 kB
  • 1 - Getting Started/Course Materials/Environments/nlp_basics.yml 7.5 kB
  • 1 - Getting Started/Course Materials/Course Assignment Notebooks/DS_Store 6.1 kB
  • 1 - Getting Started/Course Materials/Slide and Demo Notebooks/DS_Store 6.1 kB
  • 1 - Getting Started/Course Materials/Course Assignment Notebooks/section3_assignments.ipynb 5.6 kB
  • 1 - Getting Started/Course Materials/Course Assignment Notebooks/section7_assignments.ipynb 5.0 kB
  • 1 - Getting Started/4 - READ ME Important Notes for New Students.html 4.9 kB
  • 1 - Getting Started/Course Materials/Course Assignment Notebooks/section4_assignments.ipynb 4.3 kB
  • 1 - Getting Started/Course Materials/Environments/create_new_environment_commands.txt 1.2 kB
  • 1 - Getting Started/Course Materials/Slide and Demo Notebooks/text_clean.pkl 842 Bytes
  • 1 - Getting Started/Course Materials/Course Assignment Notebooks/maven_text_preprocessing.py 765 Bytes
  • 1 - Getting Started/Course Materials/Slide and Demo Notebooks/maven_text_preprocessing.py 765 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Exercises/_Course_Exercises_and_Solutions.pptx 748 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Environments/_create_new_environment_commands.txt 734 Bytes
  • 1 - Getting Started/Course Materials/Data/lemonade_data.csv 734 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Course Assignment Notebooks/_maven_text_preprocessing.py 729 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Slide and Demo Notebooks/_maven_text_preprocessing.py 729 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Slide and Demo Notebooks/_neural_network_lemonade_example.png 681 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Environments/_nlp_transformers.yml 559 Bytes
  • 1 - Getting Started/4 - DOWNLOAD Course Resources.html 545 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Environments/_nlp_basics.yml 432 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Environments/_nlp_machine_learning.yml 432 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Data/_childrens_books.csv 399 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Data/_lemonade_data.csv 399 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Data/_movie_reviews.csv 399 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Data/_Popchip_Reviews.xlsx 399 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Data/_Popchip_Reviews_Sentiment.xlsx 399 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Course Assignment Notebooks/_section3_solutions.ipynb 392 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Slide and Demo Notebooks/_section3_text_preprocessing_code.ipynb 392 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Slide and Demo Notebooks/_section4_nlp_with_machine_learning_code.ipynb 392 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Data/_movie_reviews_sentiment.csv 299 Bytes
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  • 1 - Getting Started/__MACOSX/Course Materials/_Slide and Demo Notebooks 249 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Course Assignment Notebooks/_section3_assignments.ipynb 249 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Course Assignment Notebooks/_section4_assignments.ipynb 249 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Course Assignment Notebooks/_section4_solutions.ipynb 249 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Course Assignment Notebooks/_section7_assignments.ipynb 249 Bytes
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  • 1 - Getting Started/__MACOSX/Course Materials/Slide and Demo Notebooks/_text_clean.pkl 249 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/_.DS_Store 120 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Course Assignment Notebooks/_.DS_Store 120 Bytes
  • 1 - Getting Started/__MACOSX/Course Materials/Slide and Demo Notebooks/_.DS_Store 120 Bytes

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