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【影视】 [FreeCourseSite.com] Udemy - Data Science Natural Language Processing (NLP) in Python

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10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
9. Machine Learning Basics Review/3. (Review) Classification in Code.mp4 146.3 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
6. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4 82.0 MB
4. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4 81.5 MB
9. Machine Learning Basics Review/2. (Review) What is Classification.mp4 74.1 MB
9. Machine Learning Basics Review/5. (Review) Regression in Code.mp4 72.7 MB
9. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp4 56.2 MB
9. Machine Learning Basics Review/4. (Review) What is Regression.mp4 52.0 MB
9. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.mp4 47.0 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
4. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4 45.7 MB
9. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp4 42.8 MB
3. Build your own spam detector/4. Naive Bayes Concepts.mp4 41.6 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
9. Machine Learning Basics Review/6. (Review) What is a Feature Vector.mp4 39.8 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
7. Write your own article spinner/2. More about Language Models.mp4 38.4 MB
3. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp4 32.1 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB

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【影视】 [DesireCourse.Net] Udemy - R Programming for Statistics and Data Science 2020

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11. Hypothesis Testing/1. Distributions.mp4 112.1 MB
11. Hypothesis Testing/3. Hypothesis testing.mp4 86.2 MB
11. Hypothesis Testing/2. Standard Error and Confidence Intervals.mp4 68.8 MB
11. Hypothesis Testing/7. The P-value.mp4 63.6 MB
11. Hypothesis Testing/5. Test for the mean - population variance known.mp4 61.5 MB
12. Linear Regression Analysis/1. The linear regression model.mp4 60.3 MB
11. Hypothesis Testing/8. Test for the mean - Population variance unknown.mp4 57.4 MB
6. Fundamentals of programming with R/16. Building a function in R 2.0 - Scoping.mp4 54.3 MB
12. Linear Regression Analysis/5. How to interpret the regression table.mp4 52.7 MB
5. Matrices/18. Lists in R.mp4 52.7 MB
11. Hypothesis Testing/10. Comparing two means - Dependent samples.mp4 51.6 MB
12. Linear Regression Analysis/7. Decomposition of variability SST, SSR, SSE.mp4 51.6 MB
1. Introduction/1. Ten Things You Will Learn in This Course.mp4 51.3 MB
11. Hypothesis Testing/12. Comparing two means - Independent samples.mp4 46.5 MB
3. The building blocks of R/1. Creating an object in R.mp4 46.1 MB
11. Hypothesis Testing/4. Type I and Type II errors.mp4 43.7 MB
12. Linear Regression Analysis/4. First regression in R.mp4 39.8 MB
12. Linear Regression Analysis/8. R-squared.mp4 36.1 MB
6. Fundamentals of programming with R/15. Building a function in R 2.0.mp4 33.3 MB
5. Matrices/14. Categorical data.mp4 32.3 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Modern Data Prediction and Fraud Detection.zip

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【影视】 [FreeCoursesOnline.Me] [Pluralsight] Boost Data Science Productivity with PyCharm [FCO]

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06.Exploring Data/0602.Exploring a Dataset.mp4 27.4 MB
06.Exploring Data/0605.SQL Queries.mp4 27.1 MB
04.Writing Better Code/0405.Testing.mp4 23.8 MB
06.Exploring Data/0604.R Scripts.mp4 23.3 MB
03.Understanding Code/0307.Running Code.mp4 23.1 MB
04.Writing Better Code/0403.Demo.mp4 21.6 MB
04.Writing Better Code/0406.Version Control with Git.mp4 19.9 MB
03.Understanding Code/0308.Running Tests.mp4 17.9 MB
06.Exploring Data/0603.Jupyter Notebooks.mp4 17.2 MB
05.Debugging Code/0501.Breakpoints.mp4 16.9 MB
06.Exploring Data/0606.Summary.mp4 16.7 MB
01.Course Overview/0101.Course Overview.mp4 16.1 MB
05.Debugging Code/0505.Remote Debugging.mp4 15.0 MB
04.Writing Better Code/0404.Inspections.mp4 14.1 MB
06.Exploring Data/0601.Scientific Mode.mp4 13.8 MB
03.Understanding Code/0301.Projects.mp4 13.7 MB
02.Getting Started/0204.Customizing PyCharm.mp4 13.2 MB
03.Understanding Code/0302.Searching.mp4 13.2 MB
02.Getting Started/0201.Setting Expectations.mp4 13.1 MB
05.Debugging Code/0503.Stepping.mp4 12.7 MB

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【影视】 [FreeCoursesOnline.Me] Skillshare - Adobe After Effects CC Animated Infographic Video Data Visualisation

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30-Pie Charts.mp4 247.2 MB
32-Process Relationship Infographics.mp4 234.4 MB
29-Line Graphs.mp4 220.7 MB
20-Grouping in After Effects is called precomping.mp4 203.9 MB
23-Animate the lines of an icon in After Effects.mp4 193.6 MB
33-Camera 2 Node.mp4 193.5 MB
43-Animated GIF.mp4 180.1 MB
3-Setting up your software video for data visualisation projects.mp4 161.1 MB
12-Creating a circle pop or circle burst in After Effects.mp4 148.6 MB
4-Adding audio music to a infographic in After Effects.mp4 131.1 MB
41-Exporting for TV Websites Youtube and most other social media.mp4 125.0 MB
19-Animating TIP Puppet tool.mp4 123.3 MB
36-Masking Version 3 Opacity percentage slider.mp4 114.5 MB
37-Masking Version 4 Filling up a pint glass with a mask.mp4 110.1 MB
42-Exporting for Microsoft Powerpoint.mp4 110.0 MB
28-Bar Graph Method 3 Excel graphing tool.mp4 108.4 MB
46-Cheat sheet.mp4 92.4 MB
22-Speeding up After Effects Playback preview.mp4 91.2 MB
8-Animating an infographic icon in Adobe After Effects.mp4 89.1 MB
39-Real Life action infographics 2 Camera tracking.mp4 88.5 MB

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【压缩文件】 [DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 108.5 MB
40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 107.0 MB

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【文档书籍】 [NulledPremium.com] Big Data Science & Analytics

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【影视】 [DesireCourse.Net] Udemy - R Programming A-Z™ R For Data Science With Real Exercises!

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7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis.mp4 331.4 MB
7. Homework Solutions/4. Homework Solution Section 5 World Trends.mp4 229.1 MB
3. Fundamentals Of R/7. Functions in R.mp4 209.5 MB
4. Matrices/4. Building Your First Matrix.srt 183.0 MB
4. Matrices/4. Building Your First Matrix.mp4 183.0 MB
4. Matrices/12. Basketball Insights.mp4 180.7 MB
4. Matrices/8. Visualizing With Matplot().mp4 180.3 MB
7. Homework Solutions/5. Homework Solution Section 6 Movie Domestic % Gross (Part 1).mp4 171.3 MB
6. Advanced Visualization With GGPlot2/14. Perfecting By Adding Themes.mp4 160.3 MB
7. Homework Solutions/6. Homework Solution Section 6 Movie Domestic % Gross (Part 2).mp4 160.0 MB
6. Advanced Visualization With GGPlot2/13. Coordinates.mp4 158.0 MB
5. Data Frames/4. Exploring your dataset.mp4 156.2 MB
5. Data Frames/10. Building Dataframes.mp4 154.6 MB
6. Advanced Visualization With GGPlot2/11. Statistical Transformations.mp4 150.0 MB
5. Data Frames/6. Basic operations with a Data Frame.mp4 146.6 MB
1. Hit The Ground Running/5. Exercise - Get Excited!.mp4 142.5 MB
4. Matrices/9. Subsetting.mp4 142.3 MB
5. Data Frames/7. Filtering a Data Frame.mp4 135.6 MB
6. Advanced Visualization With GGPlot2/12. Using Facets.mp4 134.5 MB
4. Matrices/11. Creating Your First Function.mp4 130.6 MB

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【影视】 [FreeCourseLab.com] Udemy - Tableau 10 A-Z Hands-On Tableau Training For Data Science!

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1. It's super easy to get Started/4. Updates on Udemy Reviews.mp4 51.6 MB
7. Advanced Data Preparation/3. Data Interpreter.mp4 39.9 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/1. Section Intro.mp4 29.2 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/6. Data Blending in Tableau.mp4 25.5 MB
4. Maps, Scatterplots, and Your First Dashboard/2. Joining Data in Tableau.mp4 24.9 MB
8. What's new in Tableau 10/2. The Challenge Startup Expansion Analytics.mp4 24.4 MB
8. What's new in Tableau 10/8. Modeling With Clusters.mp4 24.4 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/5. The Showdown Joining Data v.s. Blending Data in Tableau.mp4 23.7 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/8. Creating Calculated Fields in a Blend (Advanced Topic).mp4 23.1 MB
6. Table Calculations, Advanced Dashboards, Storytelling/11. Creating a Storyline.mp4 22.1 MB
4. Maps, Scatterplots, and Your First Dashboard/3. Creating a Map, Working with Hierarchies.mp4 21.9 MB
8. What's new in Tableau 10/3. Custom Territories Via Groups.mp4 21.9 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/7. Dual Axis Chart.mp4 21.7 MB
9. Conclusion/1. Course overview and roadmap download.mp4 20.9 MB
4. Maps, Scatterplots, and Your First Dashboard/7. Adding an Interactive Action - Highlighting.mp4 20.1 MB
6. Table Calculations, Advanced Dashboards, Storytelling/10. Analyzing the Customer Segmentation Dashboard .mp4 19.7 MB
3. Time series, Aggregation, and Filters/5. Creating an Area Chart & Learning About Highlighting.mp4 19.5 MB
4. Maps, Scatterplots, and Your First Dashboard/4. Creating a Scatter Plot, Applying Filters to Multiple Worksheets.mp4 19.4 MB
2. Tableau Basics Your First Bar chart/6. Adding Labels and Formatting.mp4 18.8 MB
3. Time series, Aggregation, and Filters/4. Understanding Aggregation, Granularity, and Level of Detail.mp4 17.6 MB

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【压缩文件】 [FreeCourseLab.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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1. Welcome to the course!/5.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/6. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

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【压缩文件】 [ FreeCourseWeb.com ] PluralSight - Building Batch Data Processing Solutions in Microsoft Azure.zip

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[ FreeCourseWeb.com ] PluralSight - Building Batch Data Processing Solutions in Microsoft Azure.zip 333.6 MB

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【影视】 [DesireCourse.Net] Udemy - The Coding Interview Bootcamp Algorithms + Data Structures

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14. Enter the Matrix Spiral/3. More on Spiral.mp4 54.9 MB
21. Linked Lists/30. Brushup on Generators.mp4 47.5 MB
11. Printing Steps/5. More on Steps.mp4 40.1 MB
30. Building Twitter - A Design Question/1. How to Build Twitter.mp4 35.8 MB
28. Validating a Binary Search Tree/3. Solution to Validation.mp4 34.3 MB
26. Tree Width with Level Width/1. Level Width Declaration.mp4 31.3 MB
15. Runtime Complexity/3. More on Runtime Complexity.mp4 31.2 MB
9. Anagrams/2. Solving Anagrams.mp4 28.4 MB
16. Runtime Complexity in Practice - Fibonacci/4. Memoi-....Mem-...Memoization!.mp4 28.0 MB
16. Runtime Complexity in Practice - Fibonacci/5. I Believe Its Memoization!.mp4 27.1 MB
21. Linked Lists/24. RemoveAt Solution.mp4 27.0 MB
20. Two Become One/3. More on Queue From Stack.mp4 26.9 MB
22. Find the Midpoint/1. Midpoint of a Linked List.mp4 26.9 MB
16. Runtime Complexity in Practice - Fibonacci/3. Fibonacci Series Recursive Solution.mp4 24.9 MB
15. Runtime Complexity/2. Determining Complexity.mp4 24.6 MB
12. Two Sided Steps - Pyramids/2. Pyramid Solution #1.mp4 24.0 MB
21. Linked Lists/26. InsertAt Solution.mp4 23.9 MB
3. String Reversal/5. Debugger Statements.mp4 23.4 MB
33. Ack, MergeSort!/4. I Don't Like Recursion, But Let's Do This Anyways.mp4 23.2 MB
12. Two Sided Steps - Pyramids/3. Pyramid Solution #2.mp4 22.7 MB

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【影视】 Курс Data Science и нейронные сети на Python [2020] [Дмитрий Романов]

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№ 1 Введение в нейронные сети/Занятие № 1 Введение в нейронные сети НС PRO июль 2020.mp4 1.6 GB
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№ 6 Нейронные сети для решения задачи регрессии/hh_fixed.csv 615.7 MB
№ 18 Object Detection (обнаружение объектов)/Занятие № 18 Object Detection (обнаружение объектов) _ PRO июль.mkv 456.5 MB
№ 21 Интеграция нейронной сети в Production. Часть 1/Занятие № 21 Интеграция нейронной сети в Production. Часть 1 _ НС Pro июль 2020.mkv 441.4 MB
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№ 5 Рекуррентные нейронные сети и одномерные свёрточные сети для обработки текстов/Занятие № 5 Рекуррентные НС и одномерные свёрточные сети для обработки текстов НС PRO июль 2020.mkv 387.8 MB
№ 26 Написание нейронных сетей с библиотекой PyTorch. Часть 2/PRO июль 2020 Занятие № 26 Написание нейронных сетей с библиотекой PyTorch. Часть 2.mkv 381.0 MB
№ 4 Обработка текстов с помощью нейросетей/Занятие № 4 Обработка текстов с помощью нейронных сетей НС PRO июль 2020.mkv 374.2 MB
№ 3 Свёрточные нейронные сети/Занятие № 3 Сверточные нейронные сети НС PRO июль 2020.mkv 371.2 MB
№ 25 Написание нейронных сетей с библиотекой PyTorch. Часть 1/Занятие № 25 Написание нейронных сетей с библиотекой PyTorch. Часть 1 PRO НС июль 2020.mkv 364.3 MB
№ 7 Полносвязные и рекуррентные нейронные сети для прогнозирования временных рядов/Занятие № 7 Полносвязные и рекуррентные сети для прогнозирования временных рядов НС PRO июль 2020.mkv 364.2 MB
№ 19 Обучение с подкреплением/Занятие № 19 Обучение с подкреплением НС PRO июль 2020.mkv 363.8 MB
№ 13 Генерация текста/Занятие № 13 Генерация текста НС PRO июль 2020.mkv 353.4 MB
№ 10 Вариационные автокодировщики, генеративные модели на базе автокодировщиков/Занятие № 10 Вариационные автокодировщики, генеративные модели на их базе НС PRO июль 2020.mkv 341.3 MB
№ 15 Введение в генетические алгоритмы/Занятие № 15 Введение в генетические алгоритмы НС PRO июль 2020.mkv 340.2 MB

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