- 【影视】 Packt Mastering Unsupervised Learning with Python
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03.Manifold and Deep Learning for High-Dimensional Data/0304.Manifold Learning in Practice – Part 2.mp4 82.3 MB
Exercise Files/exercise_files.zip 71.3 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0104.Agglomerative Clustering Finding Natural Hierarchies – Part 1.mp4 51.6 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0105.Agglomerative Clustering Finding Natural Hierarchies –Part 2.mp4 46.3 MB
02.Topic Modeling Semantic Content Recommendations/0202.Topic Modeling Overview – Part 2.mp4 45.5 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0108.Gaussian Mixture Models.mp4 44.0 MB
03.Manifold and Deep Learning for High-Dimensional Data/0308.Deep Learning and Visualization Autoencoders and t-SNE – Part 2.mp4 43.2 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0106.Density-Based Clustering DBSCAN and HDBSCAN – Part 1.mp4 39.5 MB
02.Topic Modeling Semantic Content Recommendations/0201.Topic Modeling Overview – Part 1.mp4 36.1 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0102.Alternatives to K-Means Clustering – Part 1.mp4 35.9 MB
03.Manifold and Deep Learning for High-Dimensional Data/0306.Visualize High-Dimensional Data t-SNE and UMAP – Part 2.mp4 33.9 MB
02.Topic Modeling Semantic Content Recommendations/0206.Topic Modeling Running the Models – Part 2.mp4 33.8 MB
03.Manifold and Deep Learning for High-Dimensional Data/0307.Deep Learning and Visualization Autoencoders and t-SNE – Part 1.mp4 32.4 MB
02.Topic Modeling Semantic Content Recommendations/0207.Topic Modeling Evaluating and Visualizing Results.mp4 31.5 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0103.Alternatives to K-Means Clustering – Part 2.mp4 30.4 MB
03.Manifold and Deep Learning for High-Dimensional Data/0305.Visualize High-Dimensional Data t-SNE and UMAP – Part 1.mp4 29.8 MB
02.Topic Modeling Semantic Content Recommendations/0205.Topic Modeling Running the Models – Part 1.mp4 29.7 MB
02.Topic Modeling Semantic Content Recommendations/0204.Topic Modeling Preparing Your Data – Part 2.mp4 28.3 MB
02.Topic Modeling Semantic Content Recommendations/0203.Topic Modeling Preparing Your Data – Part 1.mp4 27.9 MB
03.Manifold and Deep Learning for High-Dimensional Data/0303.Manifold Learning in Practice – Part 1.mp4 27.7 MB
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- 【影视】 Udemy - Python Complete Course - Build a Data Analysis Program
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04 Downloading Files from FTP Sites/006 Practical No.1 Creating a FTP File Downloader.mp4 78.4 MB
10 Visualizing Data/002 More visualization techniques.mp4 74.9 MB
11 Mapping Spatial Data/002 Practical No, 9 Creating KML Google Earth fIles from CSV.mp4 59.7 MB
04 Downloading Files from FTP Sites/005 Downloading an FTP file.mp4 53.0 MB
09 Pivoting Data/001 Practical No. 7 Pivoting large amounts of data.mp4 50.5 MB
12 Putting everything together/002 Practical No. 10 Polishing the program, II.mp4 40.3 MB
08 Concatenating and Joining Tables of Data with Pandas/001 Practical No.5 Concatenating multiple CSV files.mp4 40.2 MB
06 Reading and Writing TXT and CSV Data Files/002 Reading delimited TXT and CSV files.mp4 37.6 MB
12 Putting everything together/003 Practical No. 11 Creating a Python module out of your program.mp4 35.7 MB
01 Getting Started/002 Easily installing Python and its specialized libraries.mp4 35.5 MB
05 Working with Archive Files/003 Practical No.2 Creating a batch archive extractor.mp4 33.8 MB
12 Putting everything together/001 Practical No. 9 Polishing the program, I.mp4 28.7 MB
07 A tour with pandas/002 Practical No.4 Calculating and adding columns to CSV files.mp4 27.8 MB
07 A tour with pandas/001 Introducing pandas - the great Python data analysis library.mp4 26.7 MB
08 Concatenating and Joining Tables of Data with Pandas/002 Practical No. 6 Joining data based on a matching column.mp4 26.4 MB
03 Working with Files and Folders/005 Iterating through files.mp4 25.9 MB
04 Downloading Files from FTP Sites/002 Logging in to an FTP site and browsing through FTP files.mp4 22.8 MB
10 Visualizing Data/003 Practical No. 8 Generating an image file graph.mp4 22.7 MB
06 Reading and Writing TXT and CSV Data Files/003 Exporting data back to files.mp4 22.1 MB
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10. IO, Files, CSV and JSON/2. Working with files in Python.mp4 82.7 MB
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10. IO, Files, CSV and JSON/5. Reading CSV files.mp4 64.2 MB
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4. Lists, Tuples, Sets and Dictionaries/1. Introduction to lists.mp4 32.9 MB
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- 【影视】 Selenium WebDriver with Python - Basics to Intermediate
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1.Introduction to Project Based Python Programming/02.Python Installation for Windows.mp4 110.5 MB
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- 【影视】 CS101 Learn to Code with Python
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CS101 Learn to Code with Python/06 Project 5 IO/048 Project 5 Programming Solution part 3.mp4 80.9 MB
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CS101 Learn to Code with Python/03 Project 2 Class Grades if if else else/022 Project 2 Solution part 3.mp4 54.2 MB
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CS101 Learn to Code with Python/03 Project 2 Class Grades if if else else/021 Project 2 Solution part 2.mp4 33.6 MB
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CS101 Learn to Code with Python/03 Project 2 Class Grades if if else else/020 Project 2 Solution part 1.mp4 27.5 MB
CS101 Learn to Code with Python/03 Project 2 Class Grades if if else else/019 Project 2 Tip 3.mp4 25.3 MB
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CS101 Learn to Code with Python/04 Project 3 Visualize Loops Functions with Turtle/031 Project 3 Programming Solution part 1.mp4 21.9 MB
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- 【影视】 [FreeCourseLab.com] Udemy - NLP - Natural Language Processing with Python
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7. Topic Modeling/5. Latent Dirichlet Allocation with Python - Part Two.mp4 134.6 MB
3. Natural Language Processing Basics/4. Spacy Basics.mp4 134.5 MB
8. Deep Learning for NLP/15. Creating Chat Bots with Python - Part Four.mp4 131.6 MB
2. Python Text Basics/3. Working with Text Files with Python - Part Two.mp4 124.2 MB
8. Deep Learning for NLP/14. Creating Chat Bots with Python - Part Three.mp4 122.8 MB
6. Semantics and Sentiment Analysis/3. Semantics and Word Vectors with Spacy.mp4 120.3 MB
4. Part of Speech Tagging and Named Entity Recognition/2. Part of Speech Tagging.mp4 115.4 MB
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8. Deep Learning for NLP/8. Text Generation with LSTMs with Keras and Python - Part One.mp4 105.8 MB
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2. Python Text Basics/5. Regular Expressions Part One.vtt 99.8 MB
2. Python Text Basics/5. Regular Expressions Part One.mp4 99.8 MB
4. Part of Speech Tagging and Named Entity Recognition/7. Sentence Segmentation.mp4 98.3 MB
8. Deep Learning for NLP/9. Text Generation with LSTMs with Keras and Python - Part Two.mp4 95.6 MB
6. Semantics and Sentiment Analysis/5. Sentiment Analysis with NLTK.mp4 95.5 MB
8. Deep Learning for NLP/4. Keras Basics - Part One.mp4 95.3 MB
1. Introduction/1.1 UPDATED_NLP_COURSE.zip.zip 93.8 MB
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- 【影视】 Apache Spark with Python - Big Data with PySpark and Spark
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24 Social Media Site Clone Project/186 Social Clone Part Twelve.mp4 51.9 MB
19 Django Level Four/140 Relative URLs Coding Examples.mp4 51.7 MB
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23 First Clone Project/168 Blog Project Part Five.mp4 50.4 MB
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10. Django Deployment/7. Server Migrations & Data.mp4 147.8 MB
10. Django Deployment/5. Virtual Env & File Pull.mp4 141.5 MB
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6. Models, Migrations & Admin/7. Media Folder & Adding Data.mp4 131.3 MB
5. Apps, URLs & Templates/5. Index, About & Linking.mp4 130.3 MB
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04 Autoencoders/015 Writing the autoencoder class in code Theano.mp4 40.4 MB
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04 Autoencoders/022 Deep Autoencoder Visualization in Code.mp4 29.2 MB
08 BONUS Application of PCA SVD to NLP Natural Language Processing/035 BONUS Application of t-SNE K-Means Finding Clusters of Related Words.mp4 27.2 MB
08 BONUS Application of PCA SVD to NLP Natural Language Processing/034 BONUS Latent Semantic Analysis in Code.mp4 26.9 MB
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03 t-SNE t-distributed Stochastic Neighbor Embedding/009 t-SNE on the Donut.mp4 15.8 MB
09 Appendix/038 How to Code by Yourself part 2.mp4 15.5 MB
05 Restricted Boltzmann Machines/023 Restricted Boltzmann Machine Theory.mp4 15.1 MB
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