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

磁力链接/BT种子名称

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

磁力链接/BT种子简介

种子哈希：6d934efd167eea92b318f1299b759f0ea2021a48
文件大小： 3.11G
已经下载：5360次
下载速度：极快
收录时间：2022-02-02
最近下载：2026-04-11
DMCA/投诉/Complaint：DMCA/投诉/Complaint

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磁力链接下载

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文件列表

  • 4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4 207.1 MB
  • 4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4 173.8 MB
  • 7. K Nearest Neighbors Algorithm/4. K Nearest Neighbors Algorithm Project Solutions.mp4 151.4 MB
  • 7. K Nearest Neighbors Algorithm/2. K Nearest Neighbors Algorithm With Python.mp4 147.2 MB
  • 9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4 143.3 MB
  • 11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4 134.8 MB
  • 13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4 133.1 MB
  • 6. Logistic Regression Algorithm/3. Logistic Regression Algorithm With Python Part 2.mp4 120.4 MB
  • 6. Logistic Regression Algorithm/6. Logistic Regression Algorithm Project Solutions.mp4 119.8 MB
  • 2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4 117.6 MB
  • 6. Logistic Regression Algorithm/2. Logistic Regression Algorithm With Python Part 1.mp4 115.8 MB
  • 8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4 111.0 MB
  • 9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp4 102.7 MB
  • 14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp4 98.6 MB
  • 14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp4 97.6 MB
  • 6. Logistic Regression Algorithm/1. Logistic Regression Algorithm Theory.mp4 96.0 MB
  • 11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp4 93.4 MB
  • 8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp4 90.4 MB
  • 8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp4 88.5 MB
  • 2. Evalution Metrics/4. Machine Learning With Python.mp4 70.0 MB
  • 4. Linear Regression Algorithm/3. Linear Regression Algorithm With Python Part 2.mp4 63.6 MB
  • 6. Logistic Regression Algorithm/4. Logistic Regression Algorithm With Python Part 3.mp4 62.7 MB
  • 3. Supervised Learning/1. Supervised Learning Overview.mp4 62.2 MB
  • 8. Decision Trees And Random Forest Algorithm/1. Decision Trees And Random Forest Algorithm Theory.mp4 59.6 MB
  • 12. Hierarchical Clustering Algorithm/2. Hierarchical Clustering Algorithm With Python.mp4 51.5 MB
  • 5. Bias Variance Trade-Off/1. Bias Variance Trade-Off.mp4 51.1 MB
  • 8. Decision Trees And Random Forest Algorithm/3. Decision Trees And Random Forest Algorithm Project Overview.mp4 44.5 MB
  • 9. Support Vector Machine Algorithm/1. Support Vector Machines Algorithm Theory.mp4 42.9 MB
  • 4. Linear Regression Algorithm/1. Linear Regression Algorithm Theory.mp4 41.4 MB
  • 2. Evalution Metrics/3. Evaluating Performance Regression Error Metrics.mp4 40.9 MB
  • 14. Recommender System Algorithm/1. Recommender System Algorithm Theory.mp4 40.0 MB
  • 11. K Means Clustering Algorithm/3. K Means Clustering Algorithm Project Overview.mp4 39.5 MB
  • 7. K Nearest Neighbors Algorithm/1. K Nearest Neighbors Algorithm Theory.mp4 38.6 MB
  • 11. K Means Clustering Algorithm/1. K Means Clustering Algorithm Theory.mp4 37.2 MB
  • 4. Linear Regression Algorithm/4. Linear Regression Algorithm Project Overview.mp4 34.6 MB
  • 13. Principal Component Analysis (PCA)/1. Principal Component Analysis (PCA) Theory.mp4 28.5 MB
  • 1. Intro to Machine Learning with Python/1. What is Machine Learning.mp4 28.2 MB
  • 9. Support Vector Machine Algorithm/3. Support Vector Machines Algorithm Project Overview.mp4 28.2 MB
  • 12. Hierarchical Clustering Algorithm/1. Hierarchical Clustering Algorithm Theory.mp4 28.0 MB
  • 10. Unsupervised Learning/1. Unsupervised Learning Overview.mp4 26.7 MB
  • 2. Evalution Metrics/1. Classification vs Regression.mp4 21.3 MB
  • 6. Logistic Regression Algorithm/5. Logistic Regression Algorithm Project Overview.mp4 20.4 MB
  • 7. K Nearest Neighbors Algorithm/3. K Nearest Neighbors Algorithm Project Overview.mp4 18.2 MB
  • 1. Intro to Machine Learning with Python/2. Machine Learning Terminology.mp4 17.1 MB
  • 7. K Nearest Neighbors Algorithm/2. K Nearest Neighbors Algorithm With Python.srt 29.0 kB
  • 4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.srt 27.5 kB
  • 4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.srt 26.5 kB
  • 6. Logistic Regression Algorithm/3. Logistic Regression Algorithm With Python Part 2.srt 25.5 kB
  • 9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.srt 25.3 kB
  • 13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.srt 23.8 kB
  • 6. Logistic Regression Algorithm/2. Logistic Regression Algorithm With Python Part 1.srt 23.4 kB
  • 2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.srt 23.3 kB
  • 7. K Nearest Neighbors Algorithm/4. K Nearest Neighbors Algorithm Project Solutions.srt 20.3 kB
  • 14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.srt 19.6 kB
  • 11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.srt 19.2 kB
  • 8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.srt 18.4 kB
  • 14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.srt 18.3 kB
  • 11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.srt 18.0 kB
  • 6. Logistic Regression Algorithm/1. Logistic Regression Algorithm Theory.srt 16.3 kB
  • 8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.srt 15.9 kB
  • 6. Logistic Regression Algorithm/6. Logistic Regression Algorithm Project Solutions.srt 15.4 kB
  • 2. Evalution Metrics/4. Machine Learning With Python.srt 15.4 kB
  • 9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.srt 14.4 kB
  • 3. Supervised Learning/1. Supervised Learning Overview.srt 14.3 kB
  • 8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.srt 13.2 kB
  • 6. Logistic Regression Algorithm/4. Logistic Regression Algorithm With Python Part 3.srt 11.4 kB
  • 12. Hierarchical Clustering Algorithm/2. Hierarchical Clustering Algorithm With Python.srt 11.2 kB
  • 8. Decision Trees And Random Forest Algorithm/1. Decision Trees And Random Forest Algorithm Theory.srt 10.3 kB
  • 4. Linear Regression Algorithm/3. Linear Regression Algorithm With Python Part 2.srt 10.3 kB
  • 5. Bias Variance Trade-Off/1. Bias Variance Trade-Off.srt 9.7 kB
  • 2. Evalution Metrics/3. Evaluating Performance Regression Error Metrics.srt 9.6 kB
  • 7. K Nearest Neighbors Algorithm/1. K Nearest Neighbors Algorithm Theory.srt 7.9 kB
  • 4. Linear Regression Algorithm/1. Linear Regression Algorithm Theory.srt 7.4 kB
  • 11. K Means Clustering Algorithm/1. K Means Clustering Algorithm Theory.srt 7.2 kB
  • 9. Support Vector Machine Algorithm/1. Support Vector Machines Algorithm Theory.srt 7.1 kB
  • 14. Recommender System Algorithm/1. Recommender System Algorithm Theory.srt 6.9 kB
  • 8. Decision Trees And Random Forest Algorithm/3. Decision Trees And Random Forest Algorithm Project Overview.srt 6.3 kB
  • 11. K Means Clustering Algorithm/3. K Means Clustering Algorithm Project Overview.srt 5.3 kB
  • 12. Hierarchical Clustering Algorithm/1. Hierarchical Clustering Algorithm Theory.srt 5.3 kB
  • 1. Intro to Machine Learning with Python/1. What is Machine Learning.srt 4.9 kB
  • 13. Principal Component Analysis (PCA)/1. Principal Component Analysis (PCA) Theory.srt 4.8 kB
  • 2. Evalution Metrics/1. Classification vs Regression.srt 4.3 kB
  • 4. Linear Regression Algorithm/4. Linear Regression Algorithm Project Overview.srt 4.2 kB
  • 10. Unsupervised Learning/1. Unsupervised Learning Overview.srt 3.9 kB
  • 9. Support Vector Machine Algorithm/3. Support Vector Machines Algorithm Project Overview.srt 3.5 kB
  • 1. Intro to Machine Learning with Python/2. Machine Learning Terminology.srt 3.1 kB
  • 6. Logistic Regression Algorithm/5. Logistic Regression Algorithm Project Overview.srt 2.9 kB
  • 7. K Nearest Neighbors Algorithm/3. K Nearest Neighbors Algorithm Project Overview.srt 2.5 kB

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本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！