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[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:2025-09-01 热度:610

JavaScript Algorithms and Data Structures Masterclass

  • TutsGalaxy.com.txt 41 Bytes
  • Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt 59 Bytes
  • Read Me.txt 80 Bytes
  • JavaScript Algorithms and Data Structures Masterclass.zip 7.3 GB
[磁力链接] 添加时间:2018-09-07 大小:7.3 GB 最近下载:2025-08-26 热度:1925

[FreeAllCourse.Com] Udemy - R Programming A-Z™ R For Data Science With Real Exercises!

  • 7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis.mp4 331.4 MB
  • 7. Homework Solutions/4. Homework Solution Section 5 World Trends.mp4 229.1 MB
  • 3. Fundamentals Of R/7. Functions in R.mp4 209.5 MB
  • 4. Matrices/4. Building Your First Matrix.mp4 183.0 MB
  • 4. Matrices/12. Basketball Insights.mp4 180.7 MB
  • 4. Matrices/8. Visualizing With Matplot().mp4 180.3 MB
  • 7. Homework Solutions/5. Homework Solution Section 6 Movie Domestic % Gross (Part 1).mp4 171.3 MB
  • 6. Advanced Visualization With GGPlot2/14. Perfecting By Adding Themes.mp4 160.3 MB
  • 7. Homework Solutions/6. Homework Solution Section 6 Movie Domestic % Gross (Part 2).mp4 160.0 MB
  • 6. Advanced Visualization With GGPlot2/13. Coordinates.mp4 158.0 MB
  • 5. Data Frames/4. Exploring your dataset.mp4 156.2 MB
  • 5. Data Frames/10. Building Dataframes.mp4 154.6 MB
  • 6. Advanced Visualization With GGPlot2/11. Statistical Transformations.mp4 150.0 MB
  • 5. Data Frames/6. Basic operations with a Data Frame.mp4 146.6 MB
  • 1. Hit The Ground Running/5. Exercise - Get Excited!.mp4 142.5 MB
  • 4. Matrices/9. Subsetting.mp4 142.3 MB
  • 5. Data Frames/7. Filtering a Data Frame.mp4 135.6 MB
  • 6. Advanced Visualization With GGPlot2/12. Using Facets.mp4 134.5 MB
  • 4. Matrices/11. Creating Your First Function.mp4 130.6 MB
  • 3. Fundamentals Of R/6. The power of vectorized operations.mp4 128.8 MB
[磁力链接] 添加时间:2021-05-18 大小:7.3 GB 最近下载:2025-07-04 热度:290

GetFreeCourses.Co-Udemy-R Programming A-Z™ R For Data Science With Real Exercises!

  • 7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis.mp4 331.4 MB
  • 7. Homework Solutions/4. Homework Solution Section 5 World Trends.mp4 229.1 MB
  • 3. Fundamentals Of R/7. Functions in R.mp4 209.5 MB
  • 4. Matrices/4. Building Your First Matrix.mp4 183.0 MB
  • 4. Matrices/12. Basketball Insights.mp4 180.7 MB
  • 4. Matrices/8. Visualizing With Matplot().mp4 180.3 MB
  • 7. Homework Solutions/5. Homework Solution Section 6 Movie Domestic % Gross (Part 1).mp4 171.3 MB
  • 6. Advanced Visualization With GGPlot2/14. Perfecting By Adding Themes.mp4 160.3 MB
  • 7. Homework Solutions/6. Homework Solution Section 6 Movie Domestic % Gross (Part 2).mp4 160.0 MB
  • 6. Advanced Visualization With GGPlot2/13. Coordinates.mp4 158.0 MB
  • 5. Data Frames/4. Exploring your dataset.mp4 156.2 MB
  • 5. Data Frames/10. Building Dataframes.mp4 154.6 MB
  • 6. Advanced Visualization With GGPlot2/11. Statistical Transformations.mp4 150.0 MB
  • 5. Data Frames/6. Basic operations with a Data Frame.mp4 146.6 MB
  • 1. Hit The Ground Running/5. Exercise - Get Excited!.mp4 142.5 MB
  • 4. Matrices/9. Subsetting.mp4 142.3 MB
  • 5. Data Frames/7. Filtering a Data Frame.mp4 135.6 MB
  • 6. Advanced Visualization With GGPlot2/12. Using Facets.mp4 134.5 MB
  • 4. Matrices/11. Creating Your First Function.mp4 130.6 MB
  • 3. Fundamentals Of R/6. The power of vectorized operations.mp4 128.8 MB
[磁力链接] 添加时间:2021-03-10 大小:7.3 GB 最近下载:2025-09-12 热度:1870

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

  • 7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis.mp4 331.4 MB
  • 7. Homework Solutions/4. Homework Solution Section 5 World Trends.mp4 229.1 MB
  • 3. Fundamentals Of R/7. Functions in R.mp4 209.5 MB
  • 4. Matrices/4. Building Your First Matrix.mp4 183.0 MB
  • 4. Matrices/12. Basketball Insights.mp4 180.7 MB
  • 4. Matrices/8. Visualizing With Matplot().mp4 180.3 MB
  • 7. Homework Solutions/5. Homework Solution Section 6 Movie Domestic % Gross (Part 1).mp4 171.3 MB
  • 6. Advanced Visualization With GGPlot2/14. Perfecting By Adding Themes.mp4 160.3 MB
  • 7. Homework Solutions/6. Homework Solution Section 6 Movie Domestic % Gross (Part 2).mp4 160.0 MB
  • 6. Advanced Visualization With GGPlot2/13. Coordinates.mp4 158.0 MB
  • 5. Data Frames/4. Exploring your dataset.mp4 156.2 MB
  • 5. Data Frames/10. Building Dataframes.mp4 154.6 MB
  • 6. Advanced Visualization With GGPlot2/11. Statistical Transformations.mp4 150.0 MB
  • 5. Data Frames/6. Basic operations with a Data Frame.mp4 146.6 MB
  • 1. Hit The Ground Running/5. Exercise - Get Excited!.mp4 142.5 MB
  • 4. Matrices/9. Subsetting.mp4 142.3 MB
  • 5. Data Frames/7. Filtering a Data Frame.mp4 135.6 MB
  • 6. Advanced Visualization With GGPlot2/12. Using Facets.mp4 134.5 MB
  • 4. Matrices/11. Creating Your First Function.mp4 130.6 MB
  • 3. Fundamentals Of R/6. The power of vectorized operations.mp4 128.8 MB
[磁力链接] 添加时间:2021-03-09 大小:7.3 GB 最近下载:2025-09-12 热度:3504

data.bin

  • data.bin 7.3 GB
[磁力链接] 添加时间:2018-08-11 大小:7.3 GB 最近下载:2018-08-11 热度:3

Monster.Energy.NASCAR.Cup.Series.2019.R33.First.Data.500.Матч!Арена.720P.Rus.mkv

  • Monster.Energy.NASCAR.Cup.Series.2019.R33.First.Data.500.Матч!Арена.720P.Rus.mkv 7.3 GB
[磁力链接] 添加时间:2021-05-23 大小:7.3 GB 最近下载:2025-09-12 热度:920

Kratom DNA sequencing data

  • Mitragyna_speciosa_400bp_trimpaired_rp.fastq.gz 2.8 GB
  • Mitragyna_speciosa_R2.fastq.gz 2.2 GB
  • Mitragyna_speciosa_R1.fastq.gz 1.9 GB
  • mitragyna_400bp_paired_assembly.fa 319.8 MB
  • Kratom DNA sequencing info.pdf 2.5 MB
  • FINAL-peer_review-by-Bryan-J_Jones_PhD.zip 389.9 kB
[磁力链接] 添加时间:2024-01-13 大小:7.3 GB 最近下载:2025-05-07 热度:57

Data Center 350-601

  • DC Course 1 videos/sess 11/11.3 Cisco UCS Manager - Designing Cisco Data Center Infrastructure.mp4 176.8 MB
  • DC Course 1 videos/sess 8/8.5 Single Root I_O Virtualization - Designing Cisco Data Center Infrastructure.mp4 144.3 MB
  • DC Course 1 videos/sess 22/22.3 Organizations in Cisco UCS Manager - Designing Cisco Data Center Infrastructure.mp4 137.3 MB
  • DC Course 1 videos/sess 1/1.4.2 Cisco FabricPath - Designing Cisco Data Center Infrastructure.mp4 131.0 MB
  • DC Course 1 videos/sess 15/15.3 FCoE Communication - Designing Cisco Data Center Infrastructure.mp4 127.6 MB
  • DC Course 1 videos/sess 3/1.4 Video Playlist - Designing Cisco Data Center Infrastructure_4.mp4 109.5 MB
  • DC Course 1 videos/sess 8/8.4 Cisco FEX Topologies - Designing Cisco Data Center Infrastructure.mp4 107.0 MB
  • DC Course 1 videos/sess 1/1.2 Overview of Layer 2 High-Availability Mechanisms - Designing Cisco Data Center Infrastructure.mp4 104.5 MB
  • DC Course 1 videos/sess 13/13.3.1 Fibre Channel Communication - Designing Cisco Data Center Infrastructure.mp4 101.0 MB
  • DC Course 1 videos/sess 21/21.3 Cisco UCS Traffic Management - Designing Cisco Data Center Infrastructure.mp4 100.3 MB
  • DC Course 1 videos/sess 14/14.2 SAN Parameterization - Designing Cisco Data Center Infrastructure.mp4 100.2 MB
  • DC Course 1 videos/sess 13/13.3.2 Fibre Channel Communication - Designing Cisco Data Center Infrastructure_2.mp4 97.3 MB
  • DC Course 1 videos/sess 1/1.3 Virtual Port Channels - Designing Cisco Data Center Infrastructure.mp4 95.2 MB
  • DC Course 1 videos/sess 13/13.4 Virtualization in Fibre Channel SAN - Designing Cisco Data Center Infrastructure.mp4 92.1 MB
  • DC Course 1 videos/sess 15/15.6 FCoE Design Options - Designing Cisco Data Center Infrastructure.mp4 90.1 MB
  • DC Course 1 videos/sess 15/15.2 FCoE Protocol Characteristics - Designing Cisco Data Center Infrastructure.mp4 88.6 MB
  • DC Course 1 videos/sess 1/1.4.1 Cisco FabricPath - Designing Cisco Data Center Infrastructure.mp4 88.1 MB
  • DC Course 1 videos/sess 25/25.4 Virtual Access Layer - Designing Cisco Data Center Infrastructure.mp4 86.7 MB
  • DC Course 1 videos/sess 8/8.2 Cisco Adapter FEX - Designing Cisco Data Center Infrastructure.mp4 85.5 MB
  • DC Course 1 videos/sess 7/7.6 SAN Virtualization - Designing Cisco Data Center Infrastructure.mp4 84.0 MB
[磁力链接] 添加时间:2022-03-11 大小:7.3 GB 最近下载:2025-09-09 热度:1998

Monster.Energy.NASCAR.Cup.Series.2018.R33.First.Data.500.Матч!Арена.720P.Rus.mkv

  • Monster.Energy.NASCAR.Cup.Series.2018.R33.First.Data.500.Матч!Арена.720P.Rus.mkv 7.3 GB
[磁力链接] 添加时间:2018-11-04 大小:7.3 GB 最近下载:2025-08-08 热度:136

DS4B 101-P Python for Data Science Automation

  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson328.mp4 59.8 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson262.mp4 58.3 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson239.mp4 55.6 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson295.mp4 53.2 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson64.mp4 53.1 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson61.mp4 51.8 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson194.mp4 51.6 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson166.mp4 51.5 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson363.mp4 50.4 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson327.mp4 50.1 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson63.mp4 50.0 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson62.mp4 47.7 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson230.mp4 47.3 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson331.mp4 45.8 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson145.mp4 43.3 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson57.mp4 43.2 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson231.mp4 42.9 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson346.mp4 42.8 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson41.mp4 42.1 MB
  • [TutsNode.com] - DS4B 101-P Python for Data Science Automation/lesson85.mp4 41.9 MB
[磁力链接] 添加时间:2022-03-03 大小:7.3 GB 最近下载:2025-09-12 热度:1487

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:2025-09-10 热度:2000

data-1100k-1200k.zip

  • data-1100k-1200k.zip 7.3 GB
[磁力链接] 添加时间:2021-04-25 大小:7.3 GB 最近下载:2025-01-21 热度:58

data.bin

  • data.bin 7.3 GB
[磁力链接] 添加时间:2017-04-12 大小:7.3 GB 最近下载:2018-08-13 热度:11

[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:2025-08-27 热度:707

[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:2025-09-03 热度:434

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:2025-08-18 热度:561

[GigaCourse.Com] Udemy - Data Engineering using AWS Analytics Services

  • 9. Data Ingestion using Lambda Functions/26. Deploying lambda function.mp4 103.2 MB
  • 17. Streaming Pipeline using Kinesis/9. Start and Validate Agent.mp4 103.2 MB
  • 5. Storage - All about AWS s3 (Simple Storage Service)/17. Managing Objects in S3 using CLI - Lab.mp4 102.2 MB
  • 13. Deep Dive into Glue Catalog/17. Managing Glue Catalog using Python Boto3.mp4 96.3 MB
  • 17. Streaming Pipeline using Kinesis/2. Rotating Logs.mp4 90.7 MB
  • 7. Infrastructure - AWS EC2 (Elastic Cloud Compute) Basics/5. Launch EC2 Instance.mp4 80.7 MB
  • 14. Exploring Glue Job APIs/5. Running baseline Glue Job.mp4 79.8 MB
  • 11. Overview of Glue Components/9. Create and Run the Glue Job.mp4 76.7 MB
  • 19. Populating GitHub Data to Dynamodb/7. Processing Data.mp4 71.8 MB
  • 6. User Level Security - Managing Users, Roles and Policies using IAM/13. Overview of Custom Policies.mp4 71.4 MB
  • 9. Data Ingestion using Lambda Functions/19. Validating files incrementally.mp4 70.6 MB
  • 18. Consuming Data from s3 using boto3/6. Read Content from s3 object.mp4 69.9 MB
  • 6. User Level Security - Managing Users, Roles and Policies using IAM/11. Managing IAM Roles.mp4 69.7 MB
  • 8. Infrastructure - AWS EC2 Advanced/7. Using Bootstrapping Scripts.mp4 69.3 MB
  • 6. User Level Security - Managing Users, Roles and Policies using IAM/7. IAM Identity-based Policies.mp4 68.2 MB
  • 9. Data Ingestion using Lambda Functions/13. Develop upload functionality to s3.mp4 66.8 MB
  • 10. Development Lifecycle for Pyspark/8. Read data from files.mp4 66.7 MB
  • 7. Infrastructure - AWS EC2 (Elastic Cloud Compute) Basics/17. Managing EC2 Using AWS CLI.mp4 66.5 MB
  • 5. Storage - All about AWS s3 (Simple Storage Service)/9. Cross-Region Replication.mp4 66.5 MB
  • 9. Data Ingestion using Lambda Functions/11. Validating s3 access for local development.mp4 66.4 MB
[磁力链接] 添加时间:2022-01-09 大小:7.2 GB 最近下载:2025-09-12 热度:1945

Statistics for Data Analysis Using Python

  • [TutsNode.com] - Statistics for Data Analysis Using Python/4. Pandas Package/10. DataFrame - Dealing with Rows.mp4 162.3 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.mp4 134.1 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.mp4 133.4 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.mp4 113.3 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.mp4 109.3 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.mp4 107.5 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.mp4 107.2 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/10. Visualizing the Titanic dataset.mp4 105.4 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/6. Inferential Statistics and Hypothesis Testing - Introduction/13. [Theory] Z Tables - Finding the Critical Values.mp4 104.9 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/7. Hypothesis Testing Part 1 (One Sample Tests)/2. [Theory] Tests for means, variances and proportions - Introduction.mp4 101.2 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/6. Inferential Statistics and Hypothesis Testing - Introduction/9. [Theory] Hypothesis Testing - A Simple Introduction.mp4 101.1 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/30. Contingency Tables Using Python.mp4 100.6 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/17. [Theory] Two Variances Test.mp4 99.6 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/7. Hypothesis Testing Part 1 (One Sample Tests)/9. [Theory] One Proportion Test.mp4 98.0 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/7. Hypothesis Testing Part 1 (One Sample Tests)/6. One Sample Z Test Using Python.mp4 95.0 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/42. [Theory] Normal Distribution - Part 1.mp4 94.7 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/6. Inferential Statistics and Hypothesis Testing - Introduction/11. [Theory] Types of Errors - Summary.mp4 94.0 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/11. [Theory] Paired t Test.mp4 93.3 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/16. [Theory] Basics of Probability - Part 2.mp4 93.2 MB
  • [TutsNode.com] - Statistics for Data Analysis Using Python/8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/7. [Theory] Two Sample t Test - Equal Variance.mp4 92.6 MB
[磁力链接] 添加时间:2021-04-07 大小:7.2 GB 最近下载:2025-09-12 热度:3863

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:2025-06-14 热度:96


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