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Build a Career in Data Science video edition

  • [TutsNode.com] - Build a Career in Data Science video edition/95 - Appendix. Interview questions - A.3.7. Training vs. test data.mp4 121.7 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/96 - Appendix. Interview questions - A.4. Behavioral.mp4 121.6 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/37 - Chapter 7. The technical interview.mp4 119.2 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/77 - Chapter 14. Giving talks.mp4 112.4 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/76 - Chapter 14. Attending conferences.mp4 111.8 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/65 - Chapter 12. Working with stakeholders.mp4 111.0 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/59 - Chapter 10. Wrapping it up.mp4 107.5 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/2 - Chapter 1. What is data science.mp4 106.7 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/94 - Appendix. Interview questions - A.3. Statistics and machine learning.mp4 104.5 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/67 - Chapter 12. Communicating constantly.mp4 104.0 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/30 - Chapter 6. Structure.mp4 102.3 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/39 - Chapter 7. Step 3 - The case study.mp4 100.4 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/87 - Chapter 16. Principal data scientist track.mp4 98.6 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/86 - Chapter 16. The management track.mp4 95.6 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/26 - Chapter 5. Decoding descriptions.mp4 95.5 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/64 - Chapter 11. Keeping the system running.mp4 94.0 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/28 - Chapter 5. Deciding which jobs to apply for.mp4 91.5 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/4 - Chapter 1. Different types of data science jobs.mp4 90.1 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/80 - Chapter 15. Leaving your job gracefully.mp4 88.7 MB
  • [TutsNode.com] - Build a Career in Data Science video edition/61 - Chapter 11. Making the production system.mp4 87.5 MB
[磁力链接] 添加时间:2021-03-09 大小:6.8 GB 最近下载:2025-08-14 热度:1821

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 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.vtt 55.5 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 49.4 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
[磁力链接] 添加时间:2021-04-15 大小:6.8 GB 最近下载:2025-07-17 热度:3008

Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 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.vtt 55.5 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 49.4 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
[磁力链接] 添加时间:2021-03-07 大小:6.8 GB 最近下载:2025-02-28 热度:149

[Tutorialsplanet.NET] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 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.vtt 55.5 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 49.4 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
[磁力链接] 添加时间:2021-03-08 大小:6.8 GB 最近下载:2025-08-17 热度:1005

[ FreeCourseWeb.com ] Python Pandas and Altair Data Science & Visualization Course (Updated).zip

  • [ FreeCourseWeb.com ] Python Pandas and Altair Data Science & Visualization Course (Updated).zip 6.8 GB
[磁力链接] 添加时间:2021-04-22 大小:6.8 GB 最近下载:2025-07-13 热度:940

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

  • [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
[磁力链接] 添加时间:2018-11-08 大小:6.7 GB 最近下载:2025-08-17 热度:1318

Machine Learning A-Z - Hands On Python and R In Data Science

  • 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
[磁力链接] 添加时间:2017-07-25 大小:6.7 GB 最近下载:2025-08-17 热度:4993

[ FreeCourseWeb.com ] Data Science with Plotly, NumPy, Matplotlib, and Pandas (Updated 11-2019).zip

  • [ FreeCourseWeb.com ] Data Science with Plotly, NumPy, Matplotlib, and Pandas (Updated 11-2019).zip 6.6 GB
[磁力链接] 添加时间:2021-03-08 大小:6.6 GB 最近下载:2025-08-18 热度:2144

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

  • 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
[磁力链接] 添加时间:2022-03-29 大小:6.5 GB 最近下载:2024-06-23 热度:17

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

  • 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
[磁力链接] 添加时间:2021-03-25 大小:6.5 GB 最近下载:2024-11-21 热度:58

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

  • 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
[磁力链接] 添加时间:2022-03-14 大小:6.5 GB 最近下载:2025-07-03 热度:731

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

  • 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
[磁力链接] 添加时间:2021-03-21 大小:6.4 GB 最近下载:2025-08-13 热度:1121

[GigaCourse.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 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
[磁力链接] 添加时间:2021-03-29 大小:6.4 GB 最近下载:2025-07-20 热度:755

PYTHON PARA DATA SCIENCE E MACHINE LEARNING

  • 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
[磁力链接] 添加时间:2018-10-05 大小:6.3 GB 最近下载:2025-07-06 热度:334

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

  • [ FreeCourseWeb.com ] Udemy - Data Science and Machine Learning Mathematics and Statistics.zip 6.3 GB
[磁力链接] 添加时间:2022-03-01 大小:6.3 GB 最近下载:2025-08-13 热度:853

Microsoft Power BI para Data Science

  • 9- Introdução a Machine Learning/2- Depoimento Aluno Formação Cientista de Dados da Data Science Academy.mp4 210.4 MB
  • 9- Introdução a Machine Learning/4- Cursos Online de Machine Learning e Deep Learning.mp4 84.6 MB
  • 10- Microsoft Power Bi e Linguagem R/18- Machine Learning em R - Construindo o Modelo Preditivo.mp4 81.4 MB
  • 12- Introdução à Estatística para Ciência de Dados - Parte 2/19- Distribuição Binomial na Linguagem R.mp4 79.3 MB
  • 10- Microsoft Power Bi e Linguagem R/17- Machine Learning em R - Transformando e Limpando os Dados.mp4 74.7 MB
  • 11- Introdução à Estatística para Ciência de Dados - Parte 1/2- Bibliografia e Datasets.mp4 68.8 MB
  • 12- Introdução à Estatística para Ciência de Dados - Parte 2/24- Distribuição Normal na Linguagem R.mp4 66.8 MB
  • 10- Microsoft Power Bi e Linguagem R/19- Machine Learning em R - Avaliando o Resultado.mp4 64.3 MB
  • 11- Introdução à Estatística para Ciência de Dados - Parte 1/14- Calculando Medidas de Posição com Linguagem R.mp4 59.7 MB
  • 10- Microsoft Power Bi e Linguagem R/16- Machine Learning em R - Carregando o Dataset.mp4 57.1 MB
  • 5- Modelagem, Relacionamento e DAX/13- Linguagens do Power BI - DAX, M-Language, SQL, MDX, R e Python.mp4 55.1 MB
  • 14- Microsoft Power Bi e Apache Spark/4- AWS, Microsoft Azure e Databricks.mp4 51.2 MB
  • 3- Business Intelligence e Web Scraping no Power Bi/8- Fazendo Pivot dos Dados com 1 Clique.mp4 50.7 MB
  • 11- Introdução à Estatística para Ciência de Dados - Parte 1/29- Tabela de Frequência com Linguagem R.mp4 49.2 MB
  • 11- Introdução à Estatística para Ciência de Dados - Parte 1/30- Gráficos no R - BarPlot, Pie Chart, Pie Chart 3D.mp4 49.1 MB
  • 1 - Introdução/12- Outras Tecnologias Usadas no Curso - R, Spark, Oracle.mp4 48.8 MB
  • 11- Introdução à Estatística para Ciência de Dados - Parte 1/31- Gráficos no R - Line Chart, Boxplot, Scatter Plot, Treemap e Histograma.mp4 47.2 MB
  • 14- Microsoft Power Bi e Apache Spark/5- Apache Spark e Microsoft Azure HDInisght.mp4 45.3 MB
  • 11- Introdução à Estatística para Ciência de Dados - Parte 1/24- Medidas de Posição Relativa no Power BI.mp4 44.7 MB
  • 14- Microsoft Power Bi e Apache Spark/6- Instalando o Apache Spark no Windows 10 64 bits.mp4 44.6 MB
[磁力链接] 添加时间:2021-03-11 大小:6.3 GB 最近下载:2025-08-13 热度:7586

[FreeCourseSite.com] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

  • 20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
  • 27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
  • 27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
  • 26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
  • 23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
  • 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
  • 13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
  • 26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
  • 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
  • 12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
  • 10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
  • 26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
  • 27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 67.4 MB
  • 14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 66.7 MB
  • 10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 66.4 MB
[磁力链接] 添加时间:2021-03-26 大小:6.3 GB 最近下载:2025-06-16 热度:572

Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

  • 20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
  • 27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
  • 27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
  • 26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
  • 23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
  • 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
  • 13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
  • 26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
  • 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
  • 12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
  • 10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
  • 26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
  • 27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 67.4 MB
  • 14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 66.7 MB
  • 10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 66.4 MB
[磁力链接] 添加时间:2022-01-09 大小:6.3 GB 最近下载:2025-06-24 热度:71

[Tutorialsplanet.NET] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

  • 20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
  • 27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
  • 27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
  • 26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
  • 23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
  • 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
  • 13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
  • 26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
  • 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
  • 12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
  • 10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
  • 26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
  • 27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 67.4 MB
  • 14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 66.7 MB
  • 10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 66.4 MB
[磁力链接] 添加时间:2021-03-29 大小:6.3 GB 最近下载:2025-04-30 热度:230

[DesireCourse.Net] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

  • 20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 167.4 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 159.8 MB
  • 27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 155.3 MB
  • 27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 122.5 MB
  • 26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 120.0 MB
  • 23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 93.3 MB
  • 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 92.1 MB
  • 13. Assessing your model/4. How to build a CAP curve in Excel.mp4 88.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/4. Bulletproof Blueprint for Data Wrangling before the Load.mp4 85.8 MB
  • 22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 84.1 MB
  • 26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 78.1 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/3. How excel can mess up your data.mp4 76.0 MB
  • 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 74.6 MB
  • 12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 69.9 MB
  • 10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 69.4 MB
  • 26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 67.5 MB
  • 27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 67.4 MB
  • 14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 66.7 MB
  • 10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 66.4 MB
[磁力链接] 添加时间:2021-03-08 大小:6.3 GB 最近下载:2025-02-05 热度:207


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