首页 磁力链接怎么用

[FreeCourseSite.com] Udemy - Machine Learning Regression Masterclass in Python

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2021-5-16 10:34 2024-6-29 19:43 169 4.95 GB 74
磁力链接
magnet:?xt=urn:btih:e73355c1b6b571ce7da7607c9ea4e2fe428b4382
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOmU3MzM1NWMxYjZiNTcxY2U3ZGE3NjA3YzllYTRlMmZlNDI4YjQzODJaWg==
二维码链接
[FreeCourseSite.com] Udemy - Machine Learning Regression Masterclass in Python的二维码
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
3条线路均为国内外知名下载网站种子链接，内容跟本站无关！
相关链接

FreeCourseSite com Udemy - Machine Learning Regression Masterclass in Python

文件列表
  1. 1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/1. Course Welcome Message.mp460.51MB
  2. 1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/2. Updates on Udemy Reviews.mp423.12MB
  3. 1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/3. Course Overview.mp453.05MB
  4. 1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/4. ML vs. DL vs. AI.mp4143.71MB
  5. 2. ANACONDA AND JUPYTER INSTALLATION/1. Download and Set up Anaconda.mp444.71MB
  6. 2. ANACONDA AND JUPYTER INSTALLATION/2. What is Jupiter Notebook.mp432.38MB
  7. 3. SIMPLE LINEAR REGRESSION/1. Intro to Simple Linear Regression.mp427.14MB
  8. 3. SIMPLE LINEAR REGRESSION/10. Project #2 - Solution.mp434.06MB
  9. 3. SIMPLE LINEAR REGRESSION/11. Project #2 - Visualization.mp448.3MB
  10. 3. SIMPLE LINEAR REGRESSION/12. Project #2 - Prepare Training and Testing Data.mp431.93MB
  11. 3. SIMPLE LINEAR REGRESSION/13. Project #2 - Test Model.mp431.52MB
  12. 3. SIMPLE LINEAR REGRESSION/14. Project #2 - Model Testing.mp478.5MB
  13. 3. SIMPLE LINEAR REGRESSION/2. Simple Linear Regression Intuition.mp497.86MB
  14. 3. SIMPLE LINEAR REGRESSION/3. Least Squares.mp459.81MB
  15. 3. SIMPLE LINEAR REGRESSION/4. Project #1 - Overview.mp4126.73MB
  16. 3. SIMPLE LINEAR REGRESSION/5. Project #1 - Data Visualization.mp471.42MB
  17. 3. SIMPLE LINEAR REGRESSION/6. Project #1 - Divide Data into Training and Testing.mp473.8MB
  18. 3. SIMPLE LINEAR REGRESSION/7. Project #1 - Train Model.mp450.22MB
  19. 3. SIMPLE LINEAR REGRESSION/8. Project #1 - Test Model.mp4143.86MB
  20. 3. SIMPLE LINEAR REGRESSION/9. Project #2 - Overview.mp430.01MB
  21. 4. REGRESSION KEY PERFORMANCE INDICATORS/1. Regression Metrics Intro.mp413.05MB
  22. 4. REGRESSION KEY PERFORMANCE INDICATORS/2. Regression Metric Part 1.mp4128.4MB
  23. 4. REGRESSION KEY PERFORMANCE INDICATORS/3. Regression Metric Part 2.mp476.45MB
  24. 4. REGRESSION KEY PERFORMANCE INDICATORS/4. Bias Variance Tradeoff.mp4190.2MB
  25. 5. POLYNOMIAL REGRESSION/1. Polynomial Regression Intro.mp414.81MB
  26. 5. POLYNOMIAL REGRESSION/10. Poly Regression - Economies Linear -2.mp456.37MB
  27. 5. POLYNOMIAL REGRESSION/11. Poly Regression - Economies Poly.mp462.63MB
  28. 5. POLYNOMIAL REGRESSION/2. Polynomial Regression - Intuition.mp467.12MB
  29. 5. POLYNOMIAL REGRESSION/3. Poly Regression - Salary Load Data.mp473.93MB
  30. 5. POLYNOMIAL REGRESSION/4. Poly Regression - Visualize Data.mp463.6MB
  31. 5. POLYNOMIAL REGRESSION/5. Poly Regression - Linear Trainingtesting.mp479.26MB
  32. 5. POLYNOMIAL REGRESSION/6. Poly Regression - Poly Part 1.mp454.57MB
  33. 5. POLYNOMIAL REGRESSION/7. Poly Regression - Poly Part 2.mp435.7MB
  34. 5. POLYNOMIAL REGRESSION/8. Poly Regression Project 2 Overview.mp432.45MB
  35. 5. POLYNOMIAL REGRESSION/9. Poly Regression - Economies Linear -1.mp448.8MB
  36. 6. MULTIPLE LINEAR REGRESSION/1. Multiple Linear Regression Intro.mp419.86MB
  37. 6. MULTIPLE LINEAR REGRESSION/10. Project #2 - Train the Model.mp453.08MB
  38. 6. MULTIPLE LINEAR REGRESSION/11. Project #2 - Model Evaluation.mp478.64MB
  39. 6. MULTIPLE LINEAR REGRESSION/12. Project #2 - Retraining Model.mp4129.33MB
  40. 6. MULTIPLE LINEAR REGRESSION/2. Multiple Linear Regression Overview.mp421.37MB
  41. 6. MULTIPLE LINEAR REGRESSION/3. Project #1 - Load Data and Libraries.mp456.87MB
  42. 6. MULTIPLE LINEAR REGRESSION/4. Project #1 - Data Visualization.mp477.59MB
  43. 6. MULTIPLE LINEAR REGRESSION/5. Project #1 - Model Training and Evaluation.mp4157.52MB
  44. 6. MULTIPLE LINEAR REGRESSION/6. Project #1 - Model Results Evaluation.mp4135.67MB
  45. 6. MULTIPLE LINEAR REGRESSION/7. Project #2 - Overview.mp426.05MB
  46. 6. MULTIPLE LINEAR REGRESSION/8. Project #2 - Load Data.mp469.67MB
  47. 6. MULTIPLE LINEAR REGRESSION/9. Project #2 - Data Visualization.mp4117.58MB
  48. 7. LOGISTIC REGRESSION/1. Logistic Regression Intro.mp430.45MB
  49. 7. LOGISTIC REGRESSION/2. Logistic Regression Intuition.mp464.1MB
  50. 7. LOGISTIC REGRESSION/3. Confusion Matrix.mp470.58MB
  51. 7. LOGISTIC REGRESSION/4. Project #2 - Data Import.mp436.96MB
  52. 7. LOGISTIC REGRESSION/5. Project #2 - Visualization.mp476.77MB
  53. 7. LOGISTIC REGRESSION/6. Project #2 - Data Cleaning.mp443.72MB
  54. 7. LOGISTIC REGRESSION/7. Project #2 - Training Testing.mp493.33MB
  55. 7. LOGISTIC REGRESSION/8. Model Testing Visualization.mp485.78MB
  56. 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/1. Artificial Neural Networks Intro.mp416.2MB
  57. 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/10. Scale the Data.mp459.11MB
  58. 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/11. Train the Model.mp4121.79MB
  59. 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/12. Evaluate the Model.mp4132.29MB
  60. 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/13. Multiple Linear regression.mp472.45MB
  61. 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/14. Model Improvement with more features.mp490.62MB
  62. 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/2. Theory Part 1.mp439.98MB
  63. 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/3. Theory Part 2.mp427.92MB
  64. 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/4. Theory Part 3.mp455.82MB
  65. 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/5. Theory Part 4.mp490.63MB
  66. 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/6. Theory Part 5.mp450.35MB
  67. 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/7. Theory Part 6.mp435.82MB
  68. 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/8. Project - Load Dataset.mp486.79MB
  69. 8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/9. Project - Visualize Dataset.mp4129.2MB
  70. 9. LASSO AND RIDGE REGRESSION/1. Ridge and Lasso Intro.mp422.53MB
  71. 9. LASSO AND RIDGE REGRESSION/2. Ridge Lasso Part 1.mp488.51MB
  72. 9. LASSO AND RIDGE REGRESSION/3. Ridge Lasso Part 2.mp468.33MB
  73. 9. LASSO AND RIDGE REGRESSION/4. Ridge Lasso Part 3.mp433.08MB
  74. 9. LASSO AND RIDGE REGRESSION/5. Ridge and Lasso in Practice.mp4141.99MB
友情提示
不会用的朋友看这里 把磁力链接复制到离线下载，或者bt下载软件里即可下载文件，或者直接复制迅雷链接到迅雷里下载！ 亲，你造吗？将网页分享给您的基友，下载的人越多速度越快哦！

违规内容投诉邮箱：[email protected]

概述 838888磁力搜索是一个磁力链接搜索引擎，是学术研究的副产品，用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络，实时的自动采集数据，仅存储文件的标题、大小、文件列表、文件标识符（磁力链接）等基础信息 838888磁力搜索不下载任何真实资源，无法判断资源的合法性及真实性，使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源，不提供Tracker服务，不提供种子文件的下载，这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统
838888磁力链接 磁力链接bt种子搜索引擎磁力搜索 DMCA