首页 磁力链接怎么用

[Udemy] Complete Machine Learning & Data Science with Python A-Z (05.2021)

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 2022-3-28 18:20 2024-11-23 16:37 243 3.11 GB 44
二维码链接
[Udemy] Complete Machine Learning & Data Science with Python  A-Z (05.2021)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!
文件列表
  1. 1. Intro to Machine Learning with Python/1. What is Machine Learning.mp426.93MB
  2. 1. Intro to Machine Learning with Python/2. Machine Learning Terminology.mp416.31MB
  3. 10. Unsupervised Learning/1. Unsupervised Learning Overview.mp425.42MB
  4. 11. K Means Clustering Algorithm/1. K Means Clustering Algorithm Theory.mp435.48MB
  5. 11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp489.09MB
  6. 11. K Means Clustering Algorithm/3. K Means Clustering Algorithm Project Overview.mp437.71MB
  7. 11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4128.55MB
  8. 12. Hierarchical Clustering Algorithm/1. Hierarchical Clustering Algorithm Theory.mp426.68MB
  9. 12. Hierarchical Clustering Algorithm/2. Hierarchical Clustering Algorithm With Python.mp449.12MB
  10. 13. Principal Component Analysis (PCA)/1. Principal Component Analysis (PCA) Theory.mp427.22MB
  11. 13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4126.91MB
  12. 14. Recommender System Algorithm/1. Recommender System Algorithm Theory.mp438.11MB
  13. 14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp494MB
  14. 14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp493.12MB
  15. 2. Evalution Metrics/1. Classification vs Regression.mp420.28MB
  16. 2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4112.17MB
  17. 2. Evalution Metrics/3. Evaluating Performance Regression Error Metrics.mp439.04MB
  18. 2. Evalution Metrics/4. Machine Learning With Python.mp466.74MB
  19. 3. Supervised Learning/1. Supervised Learning Overview.mp459.35MB
  20. 4. Linear Regression Algorithm/1. Linear Regression Algorithm Theory.mp439.49MB
  21. 4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4165.76MB
  22. 4. Linear Regression Algorithm/3. Linear Regression Algorithm With Python Part 2.mp460.68MB
  23. 4. Linear Regression Algorithm/4. Linear Regression Algorithm Project Overview.mp432.98MB
  24. 4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4197.51MB
  25. 5. Bias Variance Trade-Off/1. Bias Variance Trade-Off.mp448.69MB
  26. 6. Logistic Regression Algorithm/1. Logistic Regression Algorithm Theory.mp491.53MB
  27. 6. Logistic Regression Algorithm/2. Logistic Regression Algorithm With Python Part 1.mp4110.4MB
  28. 6. Logistic Regression Algorithm/3. Logistic Regression Algorithm With Python Part 2.mp4114.85MB
  29. 6. Logistic Regression Algorithm/4. Logistic Regression Algorithm With Python Part 3.mp459.77MB
  30. 6. Logistic Regression Algorithm/5. Logistic Regression Algorithm Project Overview.mp419.42MB
  31. 6. Logistic Regression Algorithm/6. Logistic Regression Algorithm Project Solutions.mp4114.27MB
  32. 7. K Nearest Neighbors Algorithm/1. K Nearest Neighbors Algorithm Theory.mp436.81MB
  33. 7. K Nearest Neighbors Algorithm/2. K Nearest Neighbors Algorithm With Python.mp4140.43MB
  34. 7. K Nearest Neighbors Algorithm/3. K Nearest Neighbors Algorithm Project Overview.mp417.36MB
  35. 7. K Nearest Neighbors Algorithm/4. K Nearest Neighbors Algorithm Project Solutions.mp4144.35MB
  36. 8. Decision Trees And Random Forest Algorithm/1. Decision Trees And Random Forest Algorithm Theory.mp456.87MB
  37. 8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp486.22MB
  38. 8. Decision Trees And Random Forest Algorithm/3. Decision Trees And Random Forest Algorithm Project Overview.mp442.4MB
  39. 8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4105.88MB
  40. 8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp484.38MB
  41. 9. Support Vector Machine Algorithm/1. Support Vector Machines Algorithm Theory.mp440.9MB
  42. 9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4136.71MB
  43. 9. Support Vector Machine Algorithm/3. Support Vector Machines Algorithm Project Overview.mp426.91MB
  44. 9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp497.95MB
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