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

收录时间:2018-11-08 文档个数:3 文档大小:6.7 GB 最近下载:2025-05-16 人气:932 磁力链接

[DesireCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science.zip 6.7 GB
[DesireCourse.Com].txt 828 Bytes
[DesireCourse.Com].url 51 Bytes

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【压缩文件】 Machine Learning A-Z - Hands On Python and R In Data Science

收录时间:2017-07-25 文档个数:404 文档大小:6.7 GB 最近下载:2025-05-16 人气:4217 磁力链接

01 Welcome to the course/captions/004 Installing Python and Anaconda MAC Windows-EN.srt 11.2 kB
01 Welcome to the course/captions/003 Installing R and R Studio MAC Windows-EN.srt 8.4 kB
01 Welcome to the course/004 Installing Python and Anaconda MAC Windows.mp4 25.1 MB
01 Welcome to the course/003 Installing R and R Studio MAC Windows.mp4 24.3 MB
01 Welcome to the course/002 Why Machine Learning is the Future.mp4 15.2 MB
01 Welcome to the course/001 Applications of Machine Learning.mp4 10.3 MB
01 Welcome to the course/005 BONUS Meet your instructors.html 1.4 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/attached_files/006 Welcome to Part 1 - Data Preprocessing/Machine-Learning-A-Z-Template-Folder.zip 238.4 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/attached_files/007 Get the dataset/Data.csv 226 Bytes
02 -------------------------- Part 1 Data Preprocessing --------------------------/attached_files/011 Missing Data/Missing-Data.zip 2.0 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/attached_files/012 Categorical Data/Categorical-Data.zip 3.2 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/attached_files/015 And here is our Data Preprocessing Template/Data-Preprocessing-Template.zip 2.4 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/013 Splitting the Dataset into the Training set and Test set-EN.srt 24.5 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/012 Categorical Data-EN.srt 24.4 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/011 Missing Data-EN.srt 21.5 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/014 Feature Scaling-EN.srt 21.3 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/009 Importing the Dataset-EN.srt 17.0 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/015 And here is our Data Preprocessing Template-EN.srt 13.0 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/captions/006 Welcome to Part 1 - Data Preprocessing-EN.srt 2.3 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/quizzes/001 Data Preprocessing.html 4.6 kB

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

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1. Welcome to the course!/6.1 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!/7. 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.srt 49.5 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

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

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1. Welcome to the course!/6.1 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!/7. 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 49.5 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】 the heart is a drum machine

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THE_HEART_IS_A_DRUM_MACHINE.part17.rar 209.7 MB
THE_HEART_IS_A_DRUM_MACHINE.part02.rar 209.7 MB
THE_HEART_IS_A_DRUM_MACHINE.part03.rar 209.7 MB
THE_HEART_IS_A_DRUM_MACHINE.part04.rar 209.7 MB
THE_HEART_IS_A_DRUM_MACHINE.part05.rar 209.7 MB
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THE_HEART_IS_A_DRUM_MACHINE.part07.rar 209.7 MB
THE_HEART_IS_A_DRUM_MACHINE.part08.rar 209.7 MB
THE_HEART_IS_A_DRUM_MACHINE.part09.rar 209.7 MB
THE_HEART_IS_A_DRUM_MACHINE.part10.rar 209.7 MB
THE_HEART_IS_A_DRUM_MACHINE.part11.rar 209.7 MB
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THE_HEART_IS_A_DRUM_MACHINE.part14.rar 209.7 MB
THE_HEART_IS_A_DRUM_MACHINE.part15.rar 209.7 MB
THE_HEART_IS_A_DRUM_MACHINE.part16.rar 209.7 MB
THE_HEART_IS_A_DRUM_MACHINE.part01.rar 209.7 MB
THE_HEART_IS_A_DRUM_MACHINE.part18.rar 209.7 MB
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【压缩文件】 The.Time.Machine.2002.DVD9.iso

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The.Time.Machine.2002.DVD9.iso 6.4 GB

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【压缩文件】 The.Time.Machine.2002.WS.PAL.DVD9

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The.Time.Machine.2002.WS.PAL.DVD9.iso 6.4 GB
The.Time.Machine.2002.WS.PAL.DVD9.nfo 490 Bytes

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

收录时间:2021-03-21 文档个数:570 文档大小:6.4 GB 最近下载:2025-05-08 人气:1060 磁力链接

1. Welcome to the course!/6.1 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!/7. 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 49.5 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】 [GigaCourse.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/14. 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】 Machine Head[2008][DVD]The Blackening(Special Edition)

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Demons Eye.htm 141.7 kB
Machine_Head_-_The_Blackening.jpg 67.0 kB
Rockbits.htm 1.3 kB
The Blackening.Special Editon.ISO 6.3 GB
Torrent downloaded from Demonoid.com.txt 47 Bytes
tracked_by_h33t_com.txt 23 Bytes

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【压缩文件】 PYTHON PARA DATA SCIENCE E MACHINE LEARNING

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14. Introdução ao Machine Learning/2. Link para o ISLR.html 553 Bytes
14. Introdução ao Machine Learning/2. Link para o ISLR.html.part 553 Bytes
25. Big Data e Spark com Python/4. Configurando um ambiente Spark Local.html 1.8 kB
25. Big Data e Spark com Python/4. Configurando um ambiente Spark Local.html.part 1.8 kB
12. Python para visualização de dados - Plots geográficos/1. Introdução aos Plots geográficos.mp4 2.1 MB
5. Python para Análise de dados - Numpy/1. Bem vindo à seção de Numpy.mp4 2.1 MB
25. Big Data e Spark com Python/1. Bem vindo à seção de Big Data e Spark com Python.mp4 3.1 MB
8. Python para Visualização de dados - Matplotlib/1. Bem vindo à seção de visualização de dados.mp4 3.2 MB
14. Introdução ao Machine Learning/4. Notebooks de Machine Learning.mp4 3.4 MB
4. Curso relâmpago de Python/2. Introdução ao curso relâmpago de Python.mp4 3.5 MB
13. Projetos de análise de dados/1. Bem vindo à seção de projetos de dados.mp4 3.7 MB
6. Python para análise de dados - Pandas/2. Introdução ao Pandas.mp4 5.2 MB
5. Python para Análise de dados - Numpy/2. Introdução ao Numpy.mp4 5.3 MB
10. Python para visualização de dados - Visualização de dados Pandas/2. Exercícios.mp4 5.8 MB
6. Python para análise de dados - Pandas/1. Bem vindo à seção Pandas.mp4 5.9 MB
18. K Nearest Neighbors (KNNs)/3. KNN - Projeto.mp4 5.9 MB
17. Regressão Logística/5. Regressão logística com Python - Projeto.mp4 6.1 MB
12. Python para visualização de dados - Plots geográficos/4. Mapas Choropleth - Exercícios.mp4 6.4 MB
21. K Means Clustering/3. K Means - Projeto.mp4 6.5 MB
8. Python para Visualização de dados - Matplotlib/6. Exercícios Matplotlib.mp4 7.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Machine Learning - A-Z Full Course.zip

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[ FreeCourseWeb.com ] Udemy - Machine Learning - A-Z Full Course.zip 6.3 GB

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【压缩文件】 Amnesia-A Machine for Pigs+Crak+Keygen

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Amnesia-A Machine for Pigs+Crak+Keygen/Amnesia-A Machine for Pigs+Crak+Keygen.rar 6.3 GB
Amnesia-A Machine for Pigs+Crak+Keygen/Amnesia-A-Machine-for-Pigs-Trailer.jpg 148.2 kB
Amnesia-A Machine for Pigs+Crak+Keygen.INFO.txt 450 Bytes
Amnesia-A Machine for Pigs+Crak+Keygen/Read ME.txt 371 Bytes

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Data Science and Machine Learning Mathematics and Statistics.zip

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[ FreeCourseWeb.com ] Udemy - Data Science and Machine Learning Mathematics and Statistics.zip 6.3 GB

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【压缩文件】 [FreeCourseLab.com] Udemy - Advanced Machine Learning & Data Analysis Projects Bootcamp

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1. Introduction to Machine Learning + Software/1. Projects Overview.mp4 7.4 MB
1. Introduction to Machine Learning + Software/1. Projects Overview.vtt 2.8 kB
1. Introduction to Machine Learning + Software/2. Project Resources - Mammoth Interactive.html 74 Bytes
1. Introduction to Machine Learning + Software/2.1 Project Resources - Mammoth Interactive.zip.zip 456.2 MB
10. Building Apps With Machine Learning/1. Introduction - Improving Model Efficiency.mp4 29.2 MB
10. Building Apps With Machine Learning/1. Introduction - Improving Model Efficiency.vtt 7.8 kB
10. Building Apps With Machine Learning/2. Project Code - Mammoth Interactive.html 68 Bytes
10. Building Apps With Machine Learning/2.1 01. Project Code - Mammoth Interactive.zip.zip 4.7 kB
10. Building Apps With Machine Learning/3. Introduction to Tensorflow Lite.mp4 42.8 MB
10. Building Apps With Machine Learning/3. Introduction to Tensorflow Lite.vtt 14.1 kB
11. Text Summarizer/1. Introduction.mp4 21.2 MB
11. Text Summarizer/1. Introduction.vtt 8.6 kB
11. Text Summarizer/2. Exploring How Model Is Built.mp4 68.0 MB
11. Text Summarizer/2. Exploring How Model Is Built.vtt 18.2 kB
11. Text Summarizer/3. Exploring Training and Summarizing Mechanisms.mp4 48.8 MB
11. Text Summarizer/3. Exploring Training and Summarizing Mechanisms.vtt 12.7 kB
11. Text Summarizer/4. Exploring Training and Summarizing Code.mp4 38.6 MB
11. Text Summarizer/4. Exploring Training and Summarizing Code.vtt 10.5 kB
11. Text Summarizer/5. Testing the Model.mp4 25.7 MB
11. Text Summarizer/5. Testing the Model.vtt 6.9 kB