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[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:2025-10-22 热度:1174

[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:2025-09-24 热度:769

[ 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:2025-11-03 热度:1019

[DesireCourse.Net] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.srt 150.6 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.8 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
  • 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
  • 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
[磁力链接] 添加时间:2022-03-02 大小:6.2 GB 最近下载:2025-10-28 热度:842

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

  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/5. Updates on Udemy Reviews.mp4 55.5 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
  • 6. Polynomial Regression/10. Polynomial Regression in R - Step 3.mp4 45.4 MB
  • 28. Thompson Sampling/4. Thompson Sampling in Python - Step 1.mp4 45.2 MB
[磁力链接] 添加时间:2021-03-11 大小:6.1 GB 最近下载:2025-07-03 热度:596

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25 Neural Nets and Deep Learning/151 Tensorboard.mp4 151.2 MB
  • 25 Neural Nets and Deep Learning/144 Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25 Neural Nets and Deep Learning/136 TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25 Neural Nets and Deep Learning/147 Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25 Neural Nets and Deep Learning/141 TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25 Neural Nets and Deep Learning/145 Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 26 Big Data and Spark with Python/158 EC2 Instance Set-Up.mp4 90.7 MB
  • 25 Neural Nets and Deep Learning/146 Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25 Neural Nets and Deep Learning/134 TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14 Introduction to Machine Learning/078 Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25 Neural Nets and Deep Learning/143 TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 02 Environment Set-Up/004 Python Environment Setup.mp4 80.1 MB
  • 25 Neural Nets and Deep Learning/137 TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25 Neural Nets and Deep Learning/130 Cost Functions and Gradient Descent.mp4 79.7 MB
  • 18 K Nearest Neighbors/097 KNN Project Solutions.mp4 74.3 MB
  • 26 Big Data and Spark with Python/163 RDD Transformations and Actions.mp4 74.2 MB
  • 26 Big Data and Spark with Python/160 PySpark Setup.mp4 74.0 MB
  • 25 Neural Nets and Deep Learning/139 TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25 Neural Nets and Deep Learning/135 TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25 Neural Nets and Deep Learning/150 Keras Project Solutions - Model Evaluation.mp4 66.2 MB
[磁力链接] 添加时间:2021-04-09 大小:6.1 GB 最近下载:2025-07-16 热度:610

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
  • 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
  • 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
[磁力链接] 添加时间:2021-03-16 大小:6.0 GB 最近下载:2025-10-24 热度:2407

[Udemy] Python for Data Science and Machine Learning Bootcamp (2020) [En]

  • 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.8 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
  • 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
  • 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
[磁力链接] 添加时间:2021-04-02 大小:6.0 GB 最近下载:2025-11-02 热度:1288

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

  • 01 Welcome to the course!/001 Applications of Machine Learning-subtitle-en.srt 5.6 kB
  • 01 Welcome to the course!/001 Applications of Machine Learning.mp4 8.4 MB
  • 01 Welcome to the course!/002 Why Machine Learning is the Future-subtitle-en.srt 9.8 kB
  • 01 Welcome to the course!/002 Why Machine Learning is the Future.mp4 13.4 MB
  • 01 Welcome to the course!/003 Installing R and R Studio (MAC & Windows)-subtitle-en.srt 9.4 kB
  • 01 Welcome to the course!/003 Installing R and R Studio (MAC & Windows).mp4 18.4 MB
  • 01 Welcome to the course!/004 Update_ Recommended Anaconda Version.html 2.3 kB
  • 01 Welcome to the course!/005 Installing Python and Anaconda (MAC & Windows)-subtitle-en.srt 12.6 kB
  • 01 Welcome to the course!/005 Installing Python and Anaconda (MAC & Windows).mp4 20.5 MB
  • 01 Welcome to the course!/006 BONUS_ Meet your instructors.html 2.2 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/007 Welcome to Part 1 - Data Preprocessing-subtitle-en.srt 2.6 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/007 Welcome to Part 1 - Data Preprocessing.mp4 3.1 MB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/008 Get the dataset-subtitle-en.srt 11.4 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/008 Get the dataset.mp4 22.2 MB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/009 Importing the Libraries-subtitle-en.srt 8.6 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/009 Importing the Libraries.mp4 11.6 MB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/010 Importing the Dataset-subtitle-en.srt 19.1 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/010 Importing the Dataset.mp4 24.4 MB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/012 Missing Data-subtitle-en.srt 24.2 kB
  • 02 -------------------- Part 1_ Data Preprocessing --------------------/012 Missing Data.mp4 33.7 MB
[磁力链接] 添加时间:2018-02-06 大小:5.9 GB 最近下载:2025-10-07 热度:794

GetFreeCourses.Me-Udemy-Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2021-03-22 大小:5.5 GB 最近下载:2025-11-01 热度:6663

[DesireCourse.Net] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2021-04-30 大小:5.5 GB 最近下载:2023-12-28 热度:7

[Tutorialsplanet.NET] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.srt 116.8 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/8. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
[磁力链接] 添加时间:2021-04-02 大小:5.5 GB 最近下载:2025-07-22 热度:544

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2022-01-14 大小:5.4 GB 最近下载:2025-11-03 热度:1371

Udemy - Python for Data Science and Machine Learning Bootcamp (5.2020)

  • 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/8. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 25. Neural Nets and Deep Learning/11. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2025-04-23 大小:5.4 GB 最近下载:2025-11-05 热度:1094

[FreeCourseSite.com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • [FreeCourseSite.com] Udemy - Python for Data Science and Machine Learning Bootcamp.part1.rar 3.2 GB
  • [FreeCourseSite.com] Udemy - Python for Data Science and Machine Learning Bootcamp.part2.rar 1.3 GB
[磁力链接] 添加时间:2024-01-21 大小:4.5 GB 最近下载:2025-11-04 热度:8943

[FreeCourseSite.com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 01 Course Introduction/001 Introduction to the Course.mp4 45.1 MB
  • 01 Course Introduction/002 Course Help and Welcome.mp4 23.2 MB
  • 01 Course Introduction/003 Course FAQs.html 5.7 kB
  • 01 Course Introduction/attached_files/003 Course FAQs/Python-Data-Science-and-Machine-Learning-Bootcamp.zip 139.4 MB
  • 02 Environment Set-Up/004 Environment Set-up and Installation.mp4 29.5 MB
  • 03 Jupyter Overview/005 Jupyter Notebooks.mp4 39.6 MB
  • 03 Jupyter Overview/006 Optional Virtual Environments.mp4 22.8 MB
  • 03 Jupyter Overview/attached_files/005 Jupyter Notebooks/Python-Data-Science-and-Machine-Learning-Bootcamp.zip 139.4 MB
  • 04 Python Crash Course/007 Welcome to the Python Crash Course Section.mp4 11.2 MB
  • 04 Python Crash Course/008 Introduction to Python Crash Course.mp4 3.2 MB
  • 04 Python Crash Course/009 Python Crash Course - Part 1.mp4 42.1 MB
  • 04 Python Crash Course/010 Python Crash Course - Part 2.mp4 33.8 MB
  • 04 Python Crash Course/011 Python Crash Course - Part 3.mp4 37.5 MB
  • 04 Python Crash Course/012 Python Crash Course - Part 4.mp4 34.1 MB
  • 04 Python Crash Course/013 Python Crash Course Exercises - Overview.mp4 12.8 MB
  • 04 Python Crash Course/014 Python Crash Course Exercises - Solutions.mp4 36.1 MB
  • 05 Python for Data Analysis - NumPy/015 Welcome to the NumPy Section.mp4 7.3 MB
  • 05 Python for Data Analysis - NumPy/016 Introduction to Numpy.mp4 5.0 MB
  • 05 Python for Data Analysis - NumPy/017 Numpy Arrays.mp4 40.0 MB
  • 05 Python for Data Analysis - NumPy/018 Quick Note on Array Indexing.html 1.4 kB
[磁力链接] 添加时间:2018-05-18 大小:4.5 GB 最近下载:2025-02-17 热度:653

[ FreeCourseWeb.com ] Udemy - Data Science, Machine Learning and Deep Learning with Python.zip

  • [ FreeCourseWeb.com ] Udemy - Data Science, Machine Learning and Deep Learning with Python.zip 4.5 GB
[磁力链接] 添加时间:2024-04-06 大小:4.5 GB 最近下载:2025-07-29 热度:73

Udemy - Math 0-1 Calculus for Data Science & Machine Learning (2.2025)

  • 9 - Setting Up Your Environment (AppendixFAQ by Student Request)/3 -How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 154.2 MB
  • 8 - Vector Calculus in Multiple Dimensions (Calculus 3)/8 -Optimization and Lagrange Multipliers (pt 1).mp4 131.9 MB
  • 7 - Integration (Calculus 2)/3 -Fundamental Theorem of Calculus (pt 1).mp4 120.1 MB
  • 2 - Review/1 -Functions Review.mp4 119.8 MB
  • 10 - Effective Learning Strategies (AppendixFAQ by Student Request)/5 -What order should I take your courses in (part 2).mp4 111.0 MB
  • 5 - Derivative Rules/7 -Product and Quotient Rules.mp4 105.9 MB
  • 5 - Derivative Rules/5 -Chain Rule.mp4 99.6 MB
  • 8 - Vector Calculus in Multiple Dimensions (Calculus 3)/2 -Partial Differentiation.mp4 97.8 MB
  • 4 - Derivatives From First Principles/1 -Slopes, Tangent Lines, and Derivatives.mp4 96.4 MB
  • 8 - Vector Calculus in Multiple Dimensions (Calculus 3)/3 -The Gradient.mp4 95.3 MB
  • 10 - Effective Learning Strategies (AppendixFAQ by Student Request)/2 -Can YouTube Teach Me Calculus (Optional).mp4 91.1 MB
  • 8 - Vector Calculus in Multiple Dimensions (Calculus 3)/9 -Optimization and Lagrange Multipliers (pt 2).mp4 84.9 MB
  • 10 - Effective Learning Strategies (AppendixFAQ by Student Request)/4 -What order should I take your courses in (part 1).mp4 81.7 MB
  • 10 - Effective Learning Strategies (AppendixFAQ by Student Request)/1 -Math Order for Machine Learning & Data Science.mp4 79.3 MB
  • 8 - Vector Calculus in Multiple Dimensions (Calculus 3)/4 -The Jacobian and Hessian.mp4 76.4 MB
  • 4 - Derivatives From First Principles/2 -More On Tangent Lines, Derivative Checking.mp4 74.3 MB
  • 8 - Vector Calculus in Multiple Dimensions (Calculus 3)/7 -Steepest Ascent in Python.mp4 74.2 MB
  • 8 - Vector Calculus in Multiple Dimensions (Calculus 3)/10 -Vector Calculus Section Summary.mp4 71.8 MB
  • 9 - Setting Up Your Environment (AppendixFAQ by Student Request)/5 -How to use Github & Extra Coding Tips (Optional).mp4 71.7 MB
  • 2 - Review/2 -Functions Review in Python.mp4 70.8 MB
[磁力链接] 添加时间:2025-06-19 大小:4.4 GB 最近下载:2025-11-05 热度:779

Python for Data Science and Machine Learning Bootcamp [UDEMY]

  • 26 Neural Nets and Deep Learning/135 TensorFlow Installation.mp4 96.4 MB
  • 25 Big Data and Spark with Python/125 EC2 Instance Set-Up.mp4 90.7 MB
  • 18 K Nearest Neighbors/094 KNN Project Solutions.mp4 74.3 MB
  • 25 Big Data and Spark with Python/130 RDD Transformations and Actions.mp4 74.2 MB
  • 25 Big Data and Spark with Python/127 PySpark Setup.mp4 74.0 MB
  • 11 Python for Data Visualization - Plotly and Cufflinks/059 Plotly and Cufflinks.mp4 65.6 MB
  • 09 Python for Data Visualization - Seaborn/047 Distribution Plots.mp4 64.7 MB
  • 13 Data Capstone Project/071 Finance Project - Solutions Part 1.mp4 63.4 MB
  • 13 Data Capstone Project/068 911 Calls Solutions - Part 2.mp4 61.7 MB
  • 24 Natural Language Processing/118 NLP Project Solutions.mp4 60.5 MB
  • 21 K Means Clustering/107 K Means Project Solutions.mp4 59.5 MB
  • 26 Neural Nets and Deep Learning/139 MNIST with Multi-Layer Perceptron - Part 3.mp4 59.5 MB
  • 15 Linear Regression/083 Linear Regression Project Solution.mp4 59.2 MB
  • 20 Support Vector Machines/101 Support Vector Machines with Python.mp4 58.9 MB
  • 13 Data Capstone Project/072 Finance Project - Solutions Part 2.mp4 58.6 MB
  • 12 Python for Data Visualization - Geographical Plotting/061 Choropleth Maps - Part 1 - USA.mp4 57.6 MB
  • 18 K Nearest Neighbors/092 KNN with Python.mp4 57.3 MB
  • 26 Neural Nets and Deep Learning/142 Tensorflow Project Exercise - Solutions.mp4 55.3 MB
  • 15 Linear Regression/080 Linear Regression with Python - Part 1.mp4 54.8 MB
  • 07 Python for Data Analysis - Pandas Exercises/038 Ecommerce Purchases Exercise Solutions.mp4 54.5 MB
[磁力链接] 添加时间:2021-04-01 大小:4.2 GB 最近下载:2025-06-25 热度:136

[ DevCourseWeb.com ] Udemy - Hands-On Machine Learning and Data Science in TensorFlow JS.zip

  • [ DevCourseWeb.com ] Udemy - Hands-On Machine Learning and Data Science in TensorFlow JS.zip 4.1 GB
[磁力链接] 添加时间:2021-03-18 大小:4.1 GB 最近下载:2025-10-28 热度:1343


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