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[FreeCourseSite.com] Udemy - Machine Learning and Data Science Hands-on with Python and R

  • 2. Machine Learning with Tensorflow for Beginners/41. Title of the Plot.vtt 180.9 MB
  • 2. Machine Learning with Tensorflow for Beginners/107. Tensorflow-Playground.mp4 143.3 MB
  • 2. Machine Learning with Tensorflow for Beginners/14. Getting started with Anaconda.mp4 142.8 MB
  • 10. Natural Language Processing (NLP) Tutorials/6. Replacing Contractions.mp4 141.6 MB
  • 12. Machine Learning with R/108. Average of Quarter Denationalization.mp4 133.1 MB
  • 12. Machine Learning with R/55. Creating a Graph for Kmeans Clustering.mp4 132.8 MB
  • 3. Machine Learning Project #1 - Shipping and Time Estimation/8. Assigning a Training Set.mp4 131.3 MB
  • 12. Machine Learning with R/54. Example of Kmeans Dataset.mp4 128.6 MB
  • 12. Machine Learning with R/126. More on Rstudio in Market Analysis.mp4 128.5 MB
  • 12. Machine Learning with R/85. R Type Model.mp4 127.2 MB
  • 4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/3. Checking the Function Argument.mp4 127.1 MB
  • 2. Machine Learning with Tensorflow for Beginners/79. Numeric Hosing Data.mp4 126.1 MB
  • 3. Machine Learning Project #1 - Shipping and Time Estimation/13. Normalization and Discretization.mp4 125.3 MB
  • 12. Machine Learning with R/117. Example of Dataset Boosting in Gradient Continues.mp4 118.7 MB
  • 2. Machine Learning with Tensorflow for Beginners/58. Grid.mp4 116.2 MB
  • 2. Machine Learning with Tensorflow for Beginners/19. Arrays.mp4 115.7 MB
  • 13. BIP - Business Intelligence Publisher using Siebel/8. Showing Report Views on Application.mp4 115.4 MB
  • 2. Machine Learning with Tensorflow for Beginners/52. Pairplot.mp4 115.1 MB
  • 2. Machine Learning with Tensorflow for Beginners/23. Universal Functions.mp4 114.9 MB
  • 12. Machine Learning with R/101. Forecasting Using Stock Price.mp4 114.2 MB
[磁力链接] 添加时间:2021-04-13 大小:33.1 GB 最近下载:2026-01-11 热度:1973

Machine Learning and Data Science Hands-on with Python and R

  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/107. Tensorflow-Playground.mp4 143.3 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/14. Getting started with Anaconda.mp4 142.8 MB
  • Machine Learning and Data Science Hands-on with Python and R/10. Natural Language Processing (NLP) Tutorials/6. Replacing Contractions.mp4 141.6 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/108. Average of Quarter Denationalization.mp4 133.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/55. Creating a Graph for Kmeans Clustering.mp4 132.8 MB
  • Machine Learning and Data Science Hands-on with Python and R/3. Machine Learning Project #1 - Shipping and Time Estimation/8. Assigning a Training Set.mp4 131.3 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/54. Example of Kmeans Dataset.mp4 128.6 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/126. More on Rstudio in Market Analysis.mp4 128.5 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/85. R Type Model.mp4 127.2 MB
  • Machine Learning and Data Science Hands-on with Python and R/4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/3. Checking the Function Argument.mp4 127.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/79. Numeric Hosing Data.mp4 126.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/3. Machine Learning Project #1 - Shipping and Time Estimation/13. Normalization and Discretization.mp4 125.3 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/117. Example of Dataset Boosting in Gradient Continues.mp4 118.7 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/58. Grid.mp4 116.2 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/19. Arrays.mp4 115.7 MB
  • Machine Learning and Data Science Hands-on with Python and R/13. BIP - Business Intelligence Publisher using Siebel/8. Showing Report Views on Application.mp4 115.4 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/52. Pairplot.mp4 115.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/23. Universal Functions.mp4 114.9 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/101. Forecasting Using Stock Price.mp4 114.2 MB
  • Machine Learning and Data Science Hands-on with Python and R/7. Machine Learning Project #5 - Fraud Detection in Credit Payments/10. VRS.mp4 112.7 MB
[磁力链接] 添加时间:2024-01-07 大小:32.4 GB 最近下载:2025-12-25 热度:2268

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

  • 37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
  • 26. K-Means Clustering/6. K-Means Clustering in Python - Step 2.srt 175.4 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
  • 22. Random Forest Classification/3. Random Forest Classification in Python.srt 149.4 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
[磁力链接] 添加时间:2021-03-26 大小:12.7 GB 最近下载:2026-01-02 热度:796

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

  • Machine Learning A-Z Hands-On Python & R In Data Science/01 Welcome to the course/006 Machine-Learning-A-Z-New.zip 239.5 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/04 Data Preprocessing in R/028 Splitting the dataset into the Training set and Test set.mp4 90.7 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/04 Data Preprocessing in R/029 Feature Scaling.mp4 82.7 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/03 Data Preprocessing in Python/019 Encoding Categorical Data.mp4 81.0 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/03 Data Preprocessing in Python/016 Importing the Dataset.mp4 66.8 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/03 Data Preprocessing in Python/018 Taking care of Missing Data.mp4 64.0 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/03 Data Preprocessing in Python/021 Splitting the dataset into the Training set and Test set.mp4 61.8 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/04 Data Preprocessing in R/027 Encoding Categorical Data.mp4 60.1 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/36 Kernel PCA/284 Kernel PCA in R.mp4 59.3 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/39 Kernel PCA/265 Kernel PCA in R.mp4 59.3 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/39 XGBoost/296 THANK YOU bonus video.mp4 54.8 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/42 XGBoost/275 THANK YOU bonus video.mp4 54.8 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/12 Logistic Regression/104 Logistic Regression in R - Step 5.mp4 54.2 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/15 Logistic Regression/101 Logistic Regression in R - Step 5.mp4 54.2 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/35 Linear Discriminant Analysis (LDA)/281 LDA in R.mp4 53.8 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/38 Linear Discriminant Analysis (LDA)/263 LDA in R.mp4 53.8 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/17 Decision Tree Classification/131 Decision Tree Classification in R.mp4 53.7 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/20 Decision Tree Classification/125 Decision Tree Classification in R.mp4 53.7 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/04 Data Preprocessing in R/030 Data Preprocessing Template.mp4 53.2 MB
  • Machine Learning A-Z Hands-On Python & R In Data Science/18 Random Forest Classification/135 Random Forest Classification in R.mp4 51.8 MB
[磁力链接] 添加时间:2021-06-03 大小:12.6 GB 最近下载:2026-01-11 热度:2253

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

  • 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
  • 35. -------------------- Part 8 Deep Learning --------------------/2. What is Deep Learning.srt 165.8 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 109.8 MB
  • 34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 108.5 MB
[磁力链接] 添加时间:2021-03-15 大小:12.4 GB 最近下载:2026-01-04 热度:4900

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

  • 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
[磁力链接] 添加时间:2021-03-25 大小:12.3 GB 最近下载:2025-11-01 热度:1197

Udemy - AWS Certified Machine Learning Engineer Associate Hands On! + Practice Exams (5.2025)

  • 03. Data Transformation, Integrity, and Feature Engineering/19. Demo SageMaker Studio, Canvas, and Data Wrangler.mp4 193.0 MB
  • 03. Data Transformation, Integrity, and Feature Engineering/7. Lab Preparing Data for TF-IDF with Spark and EMR Studio, Part 2.mp4 181.1 MB
  • 08. Building Generative AI Applications with Bedrock/13. Lab Build a Bedrock Agent with Action Groups, Knowledge Bases, and Guardrails.mp4 179.0 MB
  • 07. Generative AI Model Fundamentals/13. Lab Using Amazon SageMaker JumpStart with Huggingface.mp4 122.3 MB
  • 09. Machine Learning Operations (MLOps) with AWS/24. AWS CDK - Hands On.mp4 114.0 MB
  • 04. AWS Managed AI Services/27. Amazon Q Business - Hands On.mp4 112.8 MB
  • 08. Building Generative AI Applications with Bedrock/8. Lab Building and Querying a RAG System with Amazon Bedrock Knowledge Bases.mp4 112.5 MB
  • 08. Building Generative AI Applications with Bedrock/3. Lab Chat, Text, and Image Foundation Models in the Bedrock Playground.mp4 101.6 MB
  • 02. Data Ingestion and Storage/34. Amazon EFS - Hands On.mp4 100.0 MB
  • 06. Model Training, Tuning, and Evaluation/4. Convolutional Neural Networks.mp4 99.2 MB
  • 07. Generative AI Model Fundamentals/9. Lab Tokenization and Positional Encoding with SageMaker Notebooks.mp4 98.1 MB
  • 09. Machine Learning Operations (MLOps) with AWS/16. Amazon ECS - Create Service - Hands On.mp4 85.6 MB
  • 02. Data Ingestion and Storage/39. Amazon Kinesis Data Streams - Hands On.mp4 85.4 MB
  • 10. Security, Identity, and Compliance/9. IAM Policies - Hands On.mp4 81.8 MB
  • 02. Data Ingestion and Storage/4. Data Warehouses, Lakes, and Lakehouses.mp4 79.7 MB
  • 12. Machine Learning Best Practices/7. Model Development.mp4 77.6 MB
  • 09. Machine Learning Operations (MLOps) with AWS/22. AWS CloudFormation - Hands On.mp4 75.3 MB
  • 11. Management and Governance/15. AWS Config - Hands On.mp4 74.9 MB
  • 07. Generative AI Model Fundamentals/5. Generative Pre-Trained Transformers How they Work, Part 1.mp4 72.6 MB
  • 10. Security, Identity, and Compliance/16. AWS KMS - Hands On.mp4 72.5 MB
[磁力链接] 添加时间:2025-08-20 大小:9.6 GB 最近下载:2026-01-10 热度:597

BadoinkVR - Hands-On Learning - Nina Elle_2048p.mp4

  • BadoinkVR - Hands-On Learning - Nina Elle_2048p.mp4 8.7 GB
[磁力链接] 添加时间:2021-03-27 大小:8.7 GB 最近下载:2026-01-09 热度:3146

Packt Publishing - Data Science and Machine Learning with Python - Hands On-FULL

  • Packt Publishing - Data Science and Machine Learning with Python - Hands On-FULL.iso 8.3 GB
  • More_info.txt 658 Bytes
[磁力链接] 添加时间:2017-03-08 大小:8.3 GB 最近下载:2025-05-17 热度:390

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

  • 01 Welcome to the course/001 Applications of Machine Learning-en.srt 5.4 kB
  • 01 Welcome to the course/001 Applications of Machine Learning-es.srt 5.7 kB
  • 01 Welcome to the course/001 Applications of Machine Learning-it.srt 5.8 kB
  • 01 Welcome to the course/001 Applications of Machine Learning-ja.srt 6.7 kB
  • 01 Welcome to the course/001 Applications of Machine Learning-pt.srt 5.9 kB
  • 01 Welcome to the course/001 Applications of Machine Learning-tr.srt 5.6 kB
  • 01 Welcome to the course/001 Applications of Machine Learning.mp4 10.3 MB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-en.srt 9.5 kB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-es.srt 9.9 kB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-it.srt 9.9 kB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-ja.srt 11.0 kB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-pt.srt 10.0 kB
  • 01 Welcome to the course/002 Why Machine Learning is the Future-tr.srt 9.5 kB
  • 01 Welcome to the course/002 Why Machine Learning is the Future.mp4 15.2 MB
  • 01 Welcome to the course/003 Important notes tips tricks for this course.html 4.3 kB
  • 01 Welcome to the course/004 Machine-Learning-A-Z-Q-A.pdf 2.4 MB
  • 01 Welcome to the course/004 This PDF resource will help you a lot.html 2.4 kB
  • 01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-en.srt 12.1 kB
  • 01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-es.srt 12.5 kB
  • 01 Welcome to the course/005 Installing Python and Anaconda (Mac Linux Windows)-it.srt 12.3 kB
[磁力链接] 添加时间:2018-10-24 大小:7.3 GB 最近下载:2025-05-23 热度:153

[UdemyCourseDownloader] Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 12 Logistic Regression/096 Logistic Regression in R - Step 5.mp4 98.3 MB
  • 31 Artificial Neural Networks/225 ANN in Python - Step 2.mp4 89.0 MB
  • 17 Decision Tree Classification/123 Decision Tree Classification in R.mp4 71.5 MB
  • 14 Support Vector Machine (SVM)/105 SVM in R.mp4 68.5 MB
  • 18 Random Forest Classification/127 Random Forest Classification in R.mp4 67.2 MB
  • 32 Convolutional Neural Networks/256 CNN in Python - Step 9.mp4 65.4 MB
  • 18 Random Forest Classification/126 Random Forest Classification in Python.mp4 65.1 MB
  • 07 Support Vector Regression (SVR)/068 SVR in Python.mp4 63.1 MB
  • 05 Multiple Linear Regression/045 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK.mp4 62.0 MB
  • 27 Upper Confidence Bound (UCB)/178 Upper Confidence Bound in R - Step 3.mp4 60.6 MB
  • 36 Kernel PCA/274 Kernel PCA in R.mp4 59.3 MB
  • 24 Apriori/161 Apriori in R - Step 3.mp4 59.3 MB
  • 08 Decision Tree Regression/073 Decision Tree Regression in R.mp4 59.0 MB
  • 13 K-Nearest Neighbors (K-NN)/101 K-NN in R.mp4 58.5 MB
  • 28 Thompson Sampling/183 Thompson Sampling in Python - Step 1.mp4 58.2 MB
  • 15 Kernel SVM/111 Kernel SVM in Python.mp4 57.5 MB
  • 06 Polynomial Regression/063 Polynomial Regression in R - Step 3.mp4 57.5 MB
  • 06 Polynomial Regression/058 Polynomial Regression in Python - Step 3.mp4 57.1 MB
  • 05 Multiple Linear Regression/046 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4 56.9 MB
  • 29 -------------------- Part 7 Natural Language Processing --------------------/210 Natural Language Processing in R - Step 10.mp4 56.8 MB
[磁力链接] 添加时间:2022-01-09 大小:7.3 GB 最近下载:2026-01-01 热度:816

Machine Learning & Data Science A-Z Hands-on Python 2021

  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/12. Normalization.mp4 195.9 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
  • [TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2021-04-15 大小:7.3 GB 最近下载:2026-01-12 热度:2914

[FreeCourseSite.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021

  • 06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
  • 05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
  • 06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
  • 06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
  • 02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
  • 02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
  • 02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
  • 03 Data Preprocessing/012 Normalization.mp4 195.9 MB
  • 05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
  • 03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
  • 02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
  • 07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
  • 02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
  • 05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
  • 02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
  • 08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-01-10 大小:7.2 GB 最近下载:2026-01-02 热度:959

[FreeCourseLab.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021

  • 06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
  • 05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
  • 06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
  • 06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
  • 02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
  • 02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
  • 02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
  • 03 Data Preprocessing/012 Normalization.mp4 195.9 MB
  • 05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
  • 03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
  • 02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
  • 07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
  • 02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
  • 05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
  • 02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
  • 08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-02-17 大小:7.2 GB 最近下载:2026-01-01 热度:695

Machine Learning & Data Science A-Z Hands-on Python 2021

  • 06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
  • 05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
  • 06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
  • 06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
  • 02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
  • 02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
  • 02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
  • 03 Data Preprocessing/012 Normalization.mp4 195.9 MB
  • 05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
  • 03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
  • 02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
  • 07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
  • 02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
  • 05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
  • 02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
  • 08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-02-05 大小:7.2 GB 最近下载:2025-12-19 热度:841

GetFreeCourses.Co-Udemy-Machine Learning & Data Science A-Z Hands-on Python 2021

  • 6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
  • 5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
  • 6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
  • 6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
  • 2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
  • 2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
  • 2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
  • 3. Data Preprocessing/12. Normalization.mp4 195.9 MB
  • 5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
  • 3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
  • 2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
  • 7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
  • 2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
  • 5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
  • 2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
  • 8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-04-20 大小:7.2 GB 最近下载:2025-12-23 热度:108

[FreeUdemy.Me] Machine Learning A-Z™ Hands-On Python & R In Data Science.zip

  • [FreeUdemy.Me] Machine Learning A-Z™ Hands-On Python & R In Data Science.zip 7.2 GB
[磁力链接] 添加时间:2017-06-07 大小:7.2 GB 最近下载:2025-08-20 热度:569

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

  • 01 Welcome to the course/001 Applications of Machine Learning.mp4 10.3 MB
  • 01 Welcome to the course/002 Why Machine Learning is the Future.mp4 15.2 MB
  • 01 Welcome to the course/003 Installing R and R Studio MAC Windows.mp4 24.3 MB
  • 01 Welcome to the course/004 Installing Python and Anaconda MAC Windows.mp4 25.1 MB
  • 01 Welcome to the course/005 BONUS Meet your instructors.html 1.4 kB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/006 Welcome to Part 1 - Data Preprocessing.mp4 3.7 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/007 Get the dataset.mp4 22.2 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/008 Importing the Libraries.mp4 14.2 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/009 Importing the Dataset.mp4 30.0 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/011 Missing Data.mp4 41.2 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/012 Categorical Data.mp4 55.4 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/013 Splitting the Dataset into the Training set and Test set.mp4 53.4 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/014 Feature Scaling.mp4 46.8 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/015 And here is our Data Preprocessing Template.mp4 27.1 MB
  • 02 -------------------------- Part 1 Data Preprocessing --------------------------/quizzes/001 Data Preprocessing.html 4.7 kB
  • 03 ------------------------------ Part 2 Regression ------------------------------/016 Welcome to Part 2 - Regression.html 1.1 kB
  • 04 Simple Linear Regression/017 How to get the dataset.mp4 12.3 MB
  • 04 Simple Linear Regression/018 Dataset Business Problem Description.mp4 8.1 MB
  • 04 Simple Linear Regression/019 Simple Linear Regression Intuition - Step 1.mp4 11.0 MB
  • 04 Simple Linear Regression/020 Simple Linear Regression Intuition - Step 2.mp4 6.3 MB
[磁力链接] 添加时间:2018-03-03 大小:7.2 GB 最近下载:2026-01-02 热度:2149

[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:2025-10-27 热度:3025

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


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