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- 【影视】 Secrets.Of.Big.Data.S01.1080p.AMZN.WEBRip.DDP2.0.x264-squalor[rartv]
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收录时间:2023-12-17
文档个数:7
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Secrets.Of.Big.Data.S01E01.Beat.Down.By.Data.1080p.WEB-DL.DDP2.0.H.264-squalor.mkv 3.3 GB
Secrets.Of.Big.Data.S01E03.Augmented.Eternity.1080p.WEB-DL.DDP2.0.H.264-squalor.mkv 3.2 GB
Secrets.Of.Big.Data.S01E05.The.SolarWinds.Hack.1080p.WEB-DL.DDP2.0.H.264-squalor.mkv 3.0 GB
Secrets.Of.Big.Data.S01E06.Future.Games.1080p.WEB-DL.DDP2.0.H.264-squalor.mkv 3.0 GB
Secrets.Of.Big.Data.S01E04.Bit.Con.1080p.WEB-DL.DDP2.0.H.264-squalor.mkv 3.0 GB
Secrets.Of.Big.Data.S01E02.Rise.Of.The.Autonomous.Machines.1080p.WEB-DL.DDP2.0.H.264-squalor.mkv 2.5 GB
RARBG.txt 31 Bytes
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- 【影视】 Secrets.Of.Big.Data.S01.1080p.AMZN.WEBRip.DDP2.0.x264-squalor[eztv.re]
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收录时间:2024-06-20
文档个数:6
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Secrets.Of.Big.Data.S01E01.Beat.Down.By.Data.1080p.WEB-DL.DDP2.0.H.264-squalor[eztv.re].mkv 3.3 GB
Secrets.Of.Big.Data.S01E03.Augmented.Eternity.1080p.WEB-DL.DDP2.0.H.264-squalor[eztv.re].mkv 3.2 GB
Secrets.Of.Big.Data.S01E05.The.SolarWinds.Hack.1080p.WEB-DL.DDP2.0.H.264-squalor[eztv.re].mkv 3.0 GB
Secrets.Of.Big.Data.S01E06.Future.Games.1080p.WEB-DL.DDP2.0.H.264-squalor[eztv.re].mkv 3.0 GB
Secrets.Of.Big.Data.S01E04.Bit.Con.1080p.WEB-DL.DDP2.0.H.264-squalor[eztv.re].mkv 3.0 GB
Secrets.Of.Big.Data.S01E02.Rise.Of.The.Autonomous.Machines.1080p.WEB-DL.DDP2.0.H.264-squalor[eztv.re].mkv 2.5 GB
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- 【影视】 Python Hands-On Crash Course For Data Science 12+ Projects
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收录时间:2024-08-11
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44. Introduction To Machine Learning/1. Introduction.mp4 412.5 MB
45. Supervised Machine Learning/1. Supervised Machine Learning.mp4 402.7 MB
40. PROJECT Wikipedia Web Scraping/1. Web Scraping On Wikipedia.mp4 379.2 MB
48. Logistic Regression/1. Introduction 1.mp4 376.9 MB
60. Flask PROJECT and DEPLOYMENT/3. Exploratory Data Analysis (EDA).mp4 367.1 MB
50. Naive Bayes Classifier/2. Lab Session.mp4 327.0 MB
55. K-Means Clustering/2. Lab Session 1 Exploratory Data Analysis(EDA).mp4 305.6 MB
46. Linear Regression/4. Lab Session 3 Building Linear Regression Model.mp4 290.1 MB
46. Linear Regression/2. Lab Session 1 Exploratory Data Analysis(EDA).mp4 272.6 MB
50. Naive Bayes Classifier/1. Introduction.mp4 269.2 MB
46. Linear Regression/3. Lab Session 2 EDA Dealing With Categorical And Missing Values.mp4 268.9 MB
44. Introduction To Machine Learning/2. Applications Of A.IMachine Learning.mp4 265.6 MB
56. Hierarchical Clustering/3. Lab Session.mp4 252.5 MB
36. PROJECT Facebook Data Analysis with Python/1. Analyze Your Facebook Data Live!!.mp4 248.2 MB
60. Flask PROJECT and DEPLOYMENT/5. Hands-On With Flask.mp4 246.0 MB
42. PROJECT Web Scraping Building Amazon Auto Scraper/3. Building Amazon Auto Scraper.mp4 241.9 MB
48. Logistic Regression/4. Lab Session 2 Exploratory Data Analysis(EDA).mp4 233.5 MB
56. Hierarchical Clustering/1. Introduction.mp4 229.4 MB
60. Flask PROJECT and DEPLOYMENT/4. Model Building.mp4 221.1 MB
41. PROJECT Online Book Store Web Scrapping/2. PART 2 Book Store Web Scrapping.mp4 218.2 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Data Science Masterclass With R! 4 Projects+8 Case Studies
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收录时间:2018-12-02
文档个数:496
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1. Meet Your Instructor/1. Meet Your Instructor.mp4 21.6 MB
1. Meet Your Instructor/1. Meet Your Instructor.vtt 2.9 kB
1. Meet Your Instructor/2. Course Curriculum Overview.html 91 Bytes
1. Meet Your Instructor/2.1 Data Science - Course Carriculum Udemy.xlsx.xlsx 23.1 kB
10. Introduction To Statistics/1. Intro To Stat - Part 1.mp4 112.1 MB
10. Introduction To Statistics/1. Intro To Stat - Part 1.vtt 14.9 kB
10. Introduction To Statistics/10. Introduction To Statistic - Part 5 STUDY NOTE.html 4.8 kB
10. Introduction To Statistics/11. Intro To Stat - Part 6.mp4 72.8 MB
10. Introduction To Statistics/11. Intro To Stat - Part 6.vtt 9.1 kB
10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4 171.7 MB
10. Introduction To Statistics/12. Intro To Stat - Part 7.vtt 16.3 kB
10. Introduction To Statistics/13. Introduction To Statistic - Part 7 STUDY NOTE.html 3.8 kB
10. Introduction To Statistics/14. Intro To Stat - Part 8.mp4 120.7 MB
10. Introduction To Statistics/14. Intro To Stat - Part 8.vtt 11.7 kB
10. Introduction To Statistics/15. Introduction To Statistic - Part 8 STUDY NOTE.html 1.8 kB
10. Introduction To Statistics/16. Intro To Stat - Part 9.mp4 113.5 MB
10. Introduction To Statistics/16. Intro To Stat - Part 9.vtt 11.1 kB
10. Introduction To Statistics/17. Introduction To Statistic - Part 9 STUDY NOTE.html 8.5 kB
10. Introduction To Statistics/18. Intro To Stat - Part 10.mp4 152.0 MB
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收录时间:2024-02-25
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09 - Scikit-learn Creating Machine Learning Models/017 NEW Choosing The Right Model For Your Data.mp4 245.5 MB
09 - Scikit-learn Creating Machine Learning Models/040 NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.7 MB
05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 233.6 MB
09 - Scikit-learn Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.5 MB
09 - Scikit-learn Creating Machine Learning Models/008 Optional Debugging Warnings In Jupyter.mp4 179.8 MB
16 - Career Advice + Extra Bits/009 CWD Git + Github.mp4 178.1 MB
09 - Scikit-learn Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.2 MB
14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.1 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.1 MB
14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.1 MB
16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience.mp4 154.5 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4 151.1 MB
09 - Scikit-learn Creating Machine Learning Models/050 Putting It All Together.mp4 150.1 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.2 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/019 Preproccessing Our Data.mp4 144.9 MB
14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/040 Training Model On Full Dataset.mp4 144.3 MB
11 - Milestone Project 1 Supervised Learning (Classification)/010 Finding Patterns 3.mp4 142.5 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4 142.3 MB
14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.4 MB
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收录时间:2023-12-18
文档个数:717
文档大小:17.8 GB
最近下载:2025-05-13
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09 - Scikit-learn Creating Machine Learning Models/017 NEW Choosing The Right Model For Your Data.mp4 245.5 MB
09 - Scikit-learn Creating Machine Learning Models/040 NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.7 MB
05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 233.6 MB
09 - Scikit-learn Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.5 MB
09 - Scikit-learn Creating Machine Learning Models/008 Optional Debugging Warnings In Jupyter.mp4 179.8 MB
16 - Career Advice + Extra Bits/009 CWD Git + Github.mp4 178.1 MB
09 - Scikit-learn Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.2 MB
14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.1 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.1 MB
14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.1 MB
16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience.mp4 154.5 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4 151.1 MB
09 - Scikit-learn Creating Machine Learning Models/050 Putting It All Together.mp4 150.1 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.2 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/019 Preproccessing Our Data.mp4 144.9 MB
14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/040 Training Model On Full Dataset.mp4 144.3 MB
11 - Milestone Project 1 Supervised Learning (Classification)/010 Finding Patterns 3.mp4 142.5 MB
12 - Milestone Project 2 Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4 142.3 MB
14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.4 MB
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- 【影视】 Data Center CORE Exam_ 350-601 DCCOR
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收录时间:2024-11-10
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3. Storage Network (DCCOR 350-601)/Storage Area Networking (SAN) Switching on NX-OS/01 - Course/04 - UCS C Series and B Series SAN Connectivity/04 - UCS C Series and B Series SAN Connectivity __ Part 4.mp4 313.4 MB
2. Compute (DCCOR 350-601)/Implementing Unified Computing System (UCS)/01 - Course/06 - UCS Disjoint Layer 2 LAN Connectivity/02 - Disjoint Layer 2 Solutions __ Part 2.mp4 313.1 MB
3. Storage Network (DCCOR 350-601)/Storage Area Networking (SAN) Switching on NX-OS/01 - Course/04 - UCS C Series and B Series SAN Connectivity/13 - SAN Port-Channels.mp4 303.0 MB
3. Storage Network (DCCOR 350-601)/Storage Area Networking (SAN) Switching on NX-OS/01 - Course/04 - UCS C Series and B Series SAN Connectivity/05 - Unified Ports on Nexus 5000 and UCS B Series Fabric Interconnects __ Part 1.mp4 289.4 MB
2. Compute (DCCOR 350-601)/Implementing Unified Computing System (UCS)/01 - Course/03 - UCS Manager Initialization/01 - Initialization Workflow __ Part 1.mp4 275.8 MB
2. Compute (DCCOR 350-601)/Implementing Unified Computing System (UCS)/01 - Course/03 - UCS Manager Initialization/02 - Initialization Workflow __ Part 2.mp4 261.1 MB
2. Compute (DCCOR 350-601)/Implementing Unified Computing System (UCS)/01 - Course/04 - UCS - OS Installation to Remote Storage/01 - UCS - OS Installation to Remote Storage.mp4 260.5 MB
2. Compute (DCCOR 350-601)/Implementing Unified Computing System (UCS)/01 - Course/05 - UCS LAN Connectivity/05 - LAN Connectivity Example __ Part 2.mp4 253.0 MB
2. Compute (DCCOR 350-601)/Implementing Unified Computing System (UCS)/01 - Course/02 - UCS Blade Server Components/01 - High Level Components.mp4 250.2 MB
3. Storage Network (DCCOR 350-601)/Storage Area Networking (SAN) Switching on NX-OS/01 - Course/04 - UCS C Series and B Series SAN Connectivity/07 - Unified Ports on Nexus 5000 and UCS B Series Fabric Interconnects __ Part 3.mp4 247.5 MB
2. Compute (DCCOR 350-601)/Implementing Unified Computing System (UCS)/01 - Course/07 - UCS LAN Connectivity - Ethernet Port Channels/02 - Hardware Topology - UCS B Series __ Part 2.mp4 245.6 MB
2. Compute (DCCOR 350-601)/Implementing Unified Computing System (UCS)/01 - Course/05 - UCS LAN Connectivity/01 - Blade to I0M Pinning & UCS FI Cluster Links.mp4 245.1 MB
2. Compute (DCCOR 350-601)/Implementing Unified Computing System (UCS)/01 - Course/08 - UCS LAN connectivity fabric Failover/01 - Logical View - Fls, 10Ms, & Blades __ Part 1.mp4 243.7 MB
2. Compute (DCCOR 350-601)/Implementing Unified Computing System (UCS)/01 - Course/09 - UCS LAN Connectivity vNIC Templates/01 - LAN Connectivity vNIC Templates __ Part 1.mp4 241.1 MB
3. Storage Network (DCCOR 350-601)/Storage Area Networking (SAN) Switching on NX-OS/01 - Course/04 - UCS C Series and B Series SAN Connectivity/10 - FCoE over EvPC Configuration __ Part 2.mp4 239.7 MB
3. Storage Network (DCCOR 350-601)/Storage Area Networking (SAN) Switching on NX-OS/01 - Course/06 - Zoning & Device Aliases/01 - Zoning & Device Aliases.mp4 233.8 MB
2. Compute (DCCOR 350-601)/Implementing Unified Computing System (UCS)/01 - Course/06 - UCS Disjoint Layer 2 LAN Connectivity/01 - Disjoint Layer 2 Solutions __ Part 1.mp4 233.5 MB
2. Compute (DCCOR 350-601)/Implementing Unified Computing System (UCS)/01 - Course/08 - UCS LAN connectivity fabric Failover/02 - Logical View - Fls, 10Ms, & Blades __ Part 2.mp4 227.8 MB
3. Storage Network (DCCOR 350-601)/Storage Area Networking (SAN) Switching on NX-OS/01 - Course/04 - UCS C Series and B Series SAN Connectivity/06 - Unified Ports on Nexus 5000 and UCS B Series Fabric Interconnects __ Part 2.mp4 226.4 MB
5. Security (DCCOR 350-601)/Data Center Security/01 - Course/02 - Network Security/05 - NX-OS DHCP Snooping & Dynamic ARP Inspection (DAI).mp4 225.1 MB
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09 - Scikit-learn_ Creating Machine Learning Models/017 NEW_ Choosing The Right Model For Your Data.mp4 245.7 MB
09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.8 MB
05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 200.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.6 MB
16 - Career Advice + Extra Bits/009 CWD_ Git + Github.mp4 184.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter.mp4 179.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.0 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.0 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.2 MB
16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience_.mp4 154.5 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4 151.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together.mp4 150.2 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp4 147.1 MB
05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.3 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/010 Finding Patterns 3.mp4 142.5 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4 142.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.5 MB
09 - Scikit-learn_ Creating Machine Learning Models/016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 137.7 MB
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09 - Scikit-learn_ Creating Machine Learning Models/017 NEW_ Choosing The Right Model For Your Data.mp4 245.7 MB
09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.8 MB
05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 200.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.6 MB
16 - Career Advice + Extra Bits/009 CWD_ Git + Github.mp4 184.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter.mp4 179.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.0 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.0 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.2 MB
16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience_.mp4 154.5 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4 151.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together.mp4 150.2 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp4 147.1 MB
05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.3 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/010 Finding Patterns 3.mp4 142.5 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4 142.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.5 MB
09 - Scikit-learn_ Creating Machine Learning Models/016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 137.7 MB
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09 - Scikit-learn_ Creating Machine Learning Models/017 NEW_ Choosing The Right Model For Your Data.mp4 245.7 MB
09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.8 MB
05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 200.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.6 MB
16 - Career Advice + Extra Bits/009 CWD_ Git + Github.mp4 184.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter.mp4 179.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.0 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.0 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.2 MB
16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience_.mp4 154.5 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4 151.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together.mp4 150.2 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp4 147.1 MB
05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.3 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/010 Finding Patterns 3.mp4 142.5 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4 142.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.5 MB
09 - Scikit-learn_ Creating Machine Learning Models/016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 137.7 MB
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09 - Scikit-learn_ Creating Machine Learning Models/017 NEW_ Choosing The Right Model For Your Data.mp4 245.7 MB
09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.8 MB
05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 200.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.6 MB
16 - Career Advice + Extra Bits/009 CWD_ Git + Github.mp4 184.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter.mp4 179.8 MB
09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.0 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.0 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.2 MB
16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience_.mp4 154.5 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4 151.2 MB
09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together.mp4 150.2 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp4 147.1 MB
05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.3 MB
11 - Milestone Project 1_ Supervised Learning (Classification)/010 Finding Patterns 3.mp4 142.5 MB
12 - Milestone Project 2_ Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4 142.1 MB
14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.5 MB
09 - Scikit-learn_ Creating Machine Learning Models/016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 137.7 MB
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23 - Hierarchical Clustering/210 - Hierarchical Clustering Coding Part Two ScikitLearn.mp4 331.0 MB
5 - Pandas/46 - Pandas Project Exercise Solutions.mp4 300.7 MB
13 - Logistic Regression/137 - Logistic Regression Project Exercise Solutions.mp4 276.4 MB
8 - Data Analysis and Visualization Capstone Project Exercise/75 - Capstone Project Solutions Part Three.mp4 229.4 MB
17 - Random Forests/168 - Coding Classification with Random Forest Classifier Part Two.mp4 216.2 MB
24 - DBSCAN Densitybased spatial clustering of applications with noise/217 - DBSCAN Outlier Project Exercise Solutions.mp4 206.8 MB
25 - PCA Principal Component Analysis and Manifold Learning/224 - PCA Project Exercise Solution.mp4 202.1 MB
11 - Feature Engineering and Data Preparation/111 - Dealing with Missing Data Part Two Filling or Dropping data based on Rows.mp4 195.0 MB
16 - Tree Based Methods Decision Tree Learning/161 - Coding Decision Trees Part Two Creating the Model.mp4 191.2 MB
8 - Data Analysis and Visualization Capstone Project Exercise/73 - Capstone Project Solutions Part One.mp4 187.8 MB
19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/183 - Solution Walkthrough Supervised Learning Project Tree Models.mp4 183.2 MB
7 - Seaborn Data Visualizations/59 - Scatterplots with Seaborn.mp4 182.8 MB
7 - Seaborn Data Visualizations/71 - Seaborn Plot Exercises Solutions.mp4 180.3 MB
14 - KNN K Nearest Neighbors/143 - KNN Classification Project Exercise Solutions.mp4 178.6 MB
19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/181 - Solution Walkthrough Supervised Learning Project Data and EDA.mp4 177.2 MB
26 - Model Deployment/227 - Model Persistence.mp4 175.7 MB
5 - Pandas/41 - Pandas Input and Output HTML Tables.mp4 175.6 MB
13 - Logistic Regression/135 - MultiClass Classification with Logistic Regression Part Two Model.mp4 175.4 MB
11 - Feature Engineering and Data Preparation/112 - Dealing with Missing Data Part 3 Fixing data based on Columns.mp4 163.1 MB
8 - Data Analysis and Visualization Capstone Project Exercise/74 - Capstone Project Solutions Part Two.mp4 161.9 MB
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23 - Hierarchical Clustering/210 - Hierarchical Clustering Coding Part Two ScikitLearn.mp4 331.0 MB
5 - Pandas/46 - Pandas Project Exercise Solutions.mp4 300.7 MB
13 - Logistic Regression/137 - Logistic Regression Project Exercise Solutions.mp4 276.4 MB
8 - Data Analysis and Visualization Capstone Project Exercise/75 - Capstone Project Solutions Part Three.mp4 229.4 MB
17 - Random Forests/168 - Coding Classification with Random Forest Classifier Part Two.mp4 216.2 MB
24 - DBSCAN Densitybased spatial clustering of applications with noise/217 - DBSCAN Outlier Project Exercise Solutions.mp4 206.8 MB
25 - PCA Principal Component Analysis and Manifold Learning/224 - PCA Project Exercise Solution.mp4 202.1 MB
11 - Feature Engineering and Data Preparation/111 - Dealing with Missing Data Part Two Filling or Dropping data based on Rows.mp4 195.0 MB
16 - Tree Based Methods Decision Tree Learning/161 - Coding Decision Trees Part Two Creating the Model.mp4 191.2 MB
8 - Data Analysis and Visualization Capstone Project Exercise/73 - Capstone Project Solutions Part One.mp4 187.8 MB
19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/183 - Solution Walkthrough Supervised Learning Project Tree Models.mp4 183.2 MB
7 - Seaborn Data Visualizations/59 - Scatterplots with Seaborn.mp4 182.8 MB
7 - Seaborn Data Visualizations/71 - Seaborn Plot Exercises Solutions.mp4 180.3 MB
14 - KNN K Nearest Neighbors/143 - KNN Classification Project Exercise Solutions.mp4 178.6 MB
19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/181 - Solution Walkthrough Supervised Learning Project Data and EDA.mp4 177.2 MB
26 - Model Deployment/227 - Model Persistence.mp4 175.7 MB
5 - Pandas/41 - Pandas Input and Output HTML Tables.mp4 175.6 MB
13 - Logistic Regression/135 - MultiClass Classification with Logistic Regression Part Two Model.mp4 175.4 MB
11 - Feature Engineering and Data Preparation/112 - Dealing with Missing Data Part 3 Fixing data based on Columns.mp4 163.1 MB
8 - Data Analysis and Visualization Capstone Project Exercise/74 - Capstone Project Solutions Part Two.mp4 161.9 MB
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41 - Kernel PCA/372 - Kernel PCA in R.mp4 418.7 MB
29 - Apriori/271 - Apriori in R Step 3.mp4 282.1 MB
36 - Artificial Neural Networks/339 - ANN in R Step 1.mp4 238.7 MB
37 - Convolutional Neural Networks/345 - dataset.zip 232.0 MB
36 - Artificial Neural Networks/341 - ANN in R Step 3.mp4 212.6 MB
20 - Naive Bayes/197 - Bayes Theorem.mp4 204.7 MB
29 - Apriori/268 - Apriori in Python Step 4.mp4 201.8 MB
43 - Model Selection/375 - Grid Search in Python.mp4 196.8 MB
37 - Convolutional Neural Networks/359 - CNN in Python FINAL DEMO.mp4 195.1 MB
35 - Part 8 Deep Learning/324 - What is Deep Learning.mp4 186.8 MB
39 - Principal Component Analysis PCA/365 - PCA in R Step 1.mp4 184.3 MB
37 - Convolutional Neural Networks/355 - CNN in Python Step 2.mp4 182.9 MB
40 - Linear Discriminant Analysis LDA/370 - LDA in R.mp4 173.3 MB
32 - Upper Confidence Bound UCB/287 - Upper Confidence Bound in R Step 3.mp4 172.7 MB
29 - Apriori/270 - Apriori in R Step 2.mp4 169.8 MB
44 - XGBoost/378 - XGBoost in Python.mp4 149.5 MB
37 - Convolutional Neural Networks/358 - CNN in Python Step 5.mp4 147.0 MB
37 - Convolutional Neural Networks/349 - Step 2 Pooling.mp4 146.2 MB
34 - Part 7 Natural Language Processing/307 - Natural Language Processing in Python Step 5.mp4 143.5 MB
39 - Principal Component Analysis PCA/363 - PCA in Python Step 1.mp4 143.0 MB
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文档个数:1498
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11 - Probability Bayesian Inference/51 - A Practical Example of Bayesian Inference.mp4 313.5 MB
12 - Probability Distributions/66 - A Practical Example of Probability Distributions.mp4 297.5 MB
16 - Statistics Practical Example Descriptive Statistics/93 - Practical Example Descriptive Statistics.mp4 259.3 MB
35 - Advanced Statistical Methods Practical Example Linear Regression/224 - Practical Example Linear Regression Part 1.mp4 184.7 MB
5 - The Field of Data Science Popular Data Science Techniques/11 - Techniques for Working with Traditional Data.mp4 173.6 MB
64 - Appendix Working with Text Files in Python/505 - Importing Data from json Files.mp4 167.5 MB
58 - Case Study Preprocessing the Absenteeismdata/420 - Obtaining Dummies from a Single Feature.mp4 159.1 MB
55 - Appendix Deep Learning TensorFlow 1 Business Case/393 - Business Case Preprocessing.mp4 153.4 MB
51 - Deep Learning Business Case Example/354 - Business Case Preprocessing the Data.mp4 152.2 MB
3 - The Field of Data Science Connecting the Data Science Disciplines/9 - Applying Traditional Data Big Data BI Traditional Data Science and ML.mp4 141.2 MB
19 - Statistics Practical Example Inferential Statistics/118 - Practical Example Inferential Statistics.mp4 140.5 MB
6 - The Field of Data Science Popular Data Science Tools/22 - Necessary Programming Languages and Software Used in Data Science.mp4 138.5 MB
55 - Appendix Deep Learning TensorFlow 1 Business Case/390 - Business Case Getting Acquainted with the Dataset.mp4 130.7 MB
58 - Case Study Preprocessing the Absenteeismdata/425 - Classifying the Various Reasons for Absence.mp4 128.6 MB
10 - Probability Combinatorics/39 - A Practical Example of Combinatorics.mp4 126.7 MB
58 - Case Study Preprocessing the Absenteeismdata/412 - Checking the Content of the Data Set.mp4 121.7 MB
40 - Part 6 Mathematics/281 - Why is Linear Algebra Useful.mp4 118.9 MB
5 - The Field of Data Science Popular Data Science Techniques/17 - Techniques for Working with Traditional Methods.mp4 118.2 MB
64 - Appendix Working with Text Files in Python/502 - Importing Data with loadtxt and genfromtxt.mp4 116.3 MB
55 - Appendix Deep Learning TensorFlow 1 Business Case/395 - Creating a Data Provider.mp4 115.6 MB
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11 - Probability Bayesian Inference/51 - A Practical Example of Bayesian Inference.mp4 313.5 MB
12 - Probability Distributions/66 - A Practical Example of Probability Distributions.mp4 297.5 MB
16 - Statistics Practical Example Descriptive Statistics/93 - Practical Example Descriptive Statistics.mp4 259.3 MB
35 - Advanced Statistical Methods Practical Example Linear Regression/224 - Practical Example Linear Regression Part 1.mp4 184.7 MB
5 - The Field of Data Science Popular Data Science Techniques/11 - Techniques for Working with Traditional Data.mp4 173.6 MB
64 - Appendix Working with Text Files in Python/505 - Importing Data from json Files.mp4 167.5 MB
58 - Case Study Preprocessing the Absenteeismdata/420 - Obtaining Dummies from a Single Feature.mp4 159.1 MB
55 - Appendix Deep Learning TensorFlow 1 Business Case/393 - Business Case Preprocessing.mp4 153.4 MB
51 - Deep Learning Business Case Example/354 - Business Case Preprocessing the Data.mp4 152.2 MB
3 - The Field of Data Science Connecting the Data Science Disciplines/9 - Applying Traditional Data Big Data BI Traditional Data Science and ML.mp4 141.2 MB
19 - Statistics Practical Example Inferential Statistics/118 - Practical Example Inferential Statistics.mp4 140.5 MB
6 - The Field of Data Science Popular Data Science Tools/22 - Necessary Programming Languages and Software Used in Data Science.mp4 138.5 MB
55 - Appendix Deep Learning TensorFlow 1 Business Case/390 - Business Case Getting Acquainted with the Dataset.mp4 130.7 MB
58 - Case Study Preprocessing the Absenteeismdata/425 - Classifying the Various Reasons for Absence.mp4 128.6 MB
10 - Probability Combinatorics/39 - A Practical Example of Combinatorics.mp4 126.7 MB
58 - Case Study Preprocessing the Absenteeismdata/412 - Checking the Content of the Data Set.mp4 121.7 MB
40 - Part 6 Mathematics/281 - Why is Linear Algebra Useful.mp4 118.9 MB
5 - The Field of Data Science Popular Data Science Techniques/17 - Techniques for Working with Traditional Methods.mp4 118.2 MB
64 - Appendix Working with Text Files in Python/502 - Importing Data with loadtxt and genfromtxt.mp4 116.3 MB
55 - Appendix Deep Learning TensorFlow 1 Business Case/395 - Creating a Data Provider.mp4 115.6 MB
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文档个数:475
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最近下载:2025-05-13
人气:2212
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23 - Dynamic Programming Introduction/001 Dynamic Programming Basics.mp4 204.9 MB
20 - Hashing/003 Collision Handling.mp4 174.8 MB
21 - Trie Data Structure/001 Trie Data Structure.mp4 169.1 MB
11 - Backtracking/010 N-Queen All Ways.mp4 166.1 MB
05 - 2D Arrays/007 Mango Trees.mp4 164.0 MB
04 - Character ArraysStrings/002 Using cin.get().mp4 162.1 MB
05 - 2D Arrays/004 Spiral Print.mp4 155.5 MB
22 - Graphs Introduction/001 Graphs Introduction.mp4 147.5 MB
09 - Recursion Basics/003 Fibonacci Series.mp4 139.7 MB
13 - Object Oriented Programming/007 Shallow & Deep Copy.mp4 139.6 MB
20 - Hashing/010 Hashing Code - VI (Operator [] Overloading).mp4 139.1 MB
11 - Backtracking/014 Sudoku Code.mp4 136.8 MB
11 - Backtracking/004 Finding Subsets.mp4 135.8 MB
24 - Project - Shopping Cart Backend/006 Cart Implementation.mp4 135.3 MB
23 - Dynamic Programming Introduction/002 Coin Change.mp4 134.7 MB
12 - Space & Time Complexity Analysis/002 Experimental Analysis.mp4 131.7 MB
03 - Basic Sorting Algorithms/008 Inbuilt Sort & Comparators.mp4 129.9 MB
11 - Backtracking/009 N-Queen Code.mp4 129.8 MB
11 - Backtracking/008 N-Queen Problem.mp4 128.4 MB
22 - Graphs Introduction/002 Graph Applications.mp4 123.4 MB
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文档个数:1368
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16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 MB
12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 152.2 MB
40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.3 MB
5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 140.8 MB
3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 117.1 MB
2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.5 MB
55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.6 MB
5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.1 MB
13. Probability - Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 94.3 MB
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文档个数:555
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23. Dynamic Programming Introduction/1. Dynamic Programming Basics.mp4 204.9 MB
20. Hashing/3. Collision Handling.mp4 174.8 MB
21. Trie Data Structure/1. Trie Data Structure.mp4 169.1 MB
11. Backtracking/10. N-Queen All Ways.mp4 166.1 MB
5. 2D Arrays/8. Mango Trees.mp4 164.0 MB
4. Character ArraysStrings/2. Using cin.get().mp4 162.1 MB
5. 2D Arrays/4. Spiral Print.mp4 155.5 MB
22. Graphs Introduction/1. Graphs Introduction.mp4 147.5 MB
9. Recursion Basics/3. Fibonacci Series.mp4 139.7 MB
13. Object Oriented Programming/7. Shallow & Deep Copy.mp4 139.6 MB
20. Hashing/10. Hashing Code - VI (Operator [] Overloading).mp4 139.1 MB
11. Backtracking/14. Sudoku Code.mp4 136.8 MB
11. Backtracking/4. Finding Subsets.mp4 135.8 MB
24. Project - Shopping Cart Backend/6. Cart Implementation.mp4 135.3 MB
23. Dynamic Programming Introduction/2. Coin Change.mp4 134.7 MB
12. Space & Time Complexity Analysis/2. Experimental Analysis.mp4 131.7 MB
3. Basic Sorting Algorithms/9. Inbuilt Sort & Comparators.mp4 129.9 MB
11. Backtracking/9. N-Queen Code.mp4 129.8 MB
11. Backtracking/8. N-Queen Problem.mp4 128.4 MB
22. Graphs Introduction/2. Graph Applications.mp4 123.4 MB
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23. Dynamic Programming Introduction/1. Dynamic Programming Basics.mp4 204.9 MB
20. Hashing/3. Collision Handling.mp4 174.8 MB
21. Trie Data Structure/1. Trie Data Structure.mp4 169.1 MB
11. Backtracking/10. N-Queen All Ways.mp4 166.1 MB
5. 2D Arrays/8. Mango Trees.mp4 164.0 MB
4. Character ArraysStrings/2. Using cin.get().mp4 162.1 MB
5. 2D Arrays/4. Spiral Print.mp4 155.5 MB
22. Graphs Introduction/1. Graphs Introduction.mp4 147.5 MB
9. Recursion Basics/3. Fibonacci Series.mp4 139.7 MB
13. Object Oriented Programming/7. Shallow & Deep Copy.mp4 139.6 MB
20. Hashing/10. Hashing Code - VI (Operator [] Overloading).mp4 139.1 MB
11. Backtracking/14. Sudoku Code.mp4 136.8 MB
11. Backtracking/4. Finding Subsets.mp4 135.8 MB
24. Project - Shopping Cart Backend/6. Cart Implementation.mp4 135.3 MB
23. Dynamic Programming Introduction/2. Coin Change.mp4 134.7 MB
12. Space & Time Complexity Analysis/2. Experimental Analysis.mp4 131.7 MB
3. Basic Sorting Algorithms/9. Inbuilt Sort & Comparators.mp4 129.9 MB
11. Backtracking/9. N-Queen Code.mp4 129.8 MB
11. Backtracking/8. N-Queen Problem.mp4 128.4 MB
22. Graphs Introduction/2. Graph Applications.mp4 123.4 MB
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