首页 磁力链接怎么用

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

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 2022-9-24 21:53 2024-5-23 09:15 159 5.43 GB 152
磁力链接
magnet:?xt=urn:btih:ba6473ea9ee0d523e80a5e4ff60dcf8722de414e
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOmJhNjQ3M2VhOWVlMGQ1MjNlODBhNWU0ZmY2MGRjZjg3MjJkZTQxNGVaWg==
二维码链接
[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp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

FreeAllCourse Com Udemy - Python for Data Science and Machine Learning Bootcamp

文件列表
  1. 25. Neural Nets and Deep Learning/31. Tensorboard.mp4144.18MB
  2. 1. Course Introduction/1. Introduction to the Course.mp443.01MB
  3. 1. Course Introduction/2. Course Help and Welcome.mp422.14MB
  4. 2. Environment Set-Up/1. Python Environment Setup.mp476.35MB
  5. 3. Jupyter Overview/2. Jupyter Notebooks.mp437.76MB
  6. 3. Jupyter Overview/3. Optional Virtual Environments.mp421.79MB
  7. 4. Python Crash Course/1. Welcome to the Python Crash Course Section!.mp410.7MB
  8. 4. Python Crash Course/2. Introduction to Python Crash Course.mp43.04MB
  9. 4. Python Crash Course/3. Python Crash Course - Part 1.mp440.15MB
  10. 4. Python Crash Course/4. Python Crash Course - Part 2.mp432.21MB
  11. 4. Python Crash Course/5. Python Crash Course - Part 3.mp435.76MB
  12. 4. Python Crash Course/6. Python Crash Course - Part 4.mp432.56MB
  13. 4. Python Crash Course/7. Python Crash Course Exercises - Overview.mp412.24MB
  14. 4. Python Crash Course/8. Python Crash Course Exercises - Solutions.mp434.41MB
  15. 5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.mp46.99MB
  16. 5. Python for Data Analysis - NumPy/2. Introduction to Numpy.mp44.73MB
  17. 5. Python for Data Analysis - NumPy/3. Numpy Arrays.mp438.13MB
  18. 5. Python for Data Analysis - NumPy/5. Numpy Array Indexing.mp442.25MB
  19. 5. Python for Data Analysis - NumPy/6. Numpy Operations.mp430.1MB
  20. 5. Python for Data Analysis - NumPy/7. Numpy Exercises Overview.mp412.22MB
  21. 5. Python for Data Analysis - NumPy/8. Numpy Exercises Solutions.mp446.24MB
  22. 6. Python for Data Analysis - Pandas/1. Welcome to the Pandas Section!.mp49.13MB
  23. 6. Python for Data Analysis - Pandas/2. Introduction to Pandas.mp43.53MB
  24. 6. Python for Data Analysis - Pandas/3. Series.mp422.69MB
  25. 6. Python for Data Analysis - Pandas/4. DataFrames - Part 1.mp445.61MB
  26. 6. Python for Data Analysis - Pandas/5. DataFrames - Part 2.mp449.87MB
  27. 6. Python for Data Analysis - Pandas/6. DataFrames - Part 3.mp424.3MB
  28. 6. Python for Data Analysis - Pandas/7. Missing Data.mp413.69MB
  29. 6. Python for Data Analysis - Pandas/8. Groupby.mp416.7MB
  30. 6. Python for Data Analysis - Pandas/9. Merging Joining and Concatenating.mp430.38MB
  31. 6. Python for Data Analysis - Pandas/10. Operations.mp427.35MB
  32. 6. Python for Data Analysis - Pandas/11. Data Input and Output.mp444.49MB
  33. 7. Python for Data Analysis - Pandas Exercises/2. SF Salaries Exercise Overview.mp48.31MB
  34. 7. Python for Data Analysis - Pandas Exercises/3. SF Salaries Solutions.mp451.79MB
  35. 7. Python for Data Analysis - Pandas Exercises/4. Ecommerce Purchases Exercise Overview.mp48.79MB
  36. 7. Python for Data Analysis - Pandas Exercises/5. Ecommerce Purchases Exercise Solutions.mp452.02MB
  37. 8. Python for Data Visualization - Matplotlib/1. Welcome to the Data Visualization Section!.mp414.25MB
  38. 8. Python for Data Visualization - Matplotlib/2. Introduction to Matplotlib.mp416.34MB
  39. 8. Python for Data Visualization - Matplotlib/3. Matplotlib Part 1.mp441.63MB
  40. 8. Python for Data Visualization - Matplotlib/4. Matplotlib Part 2.mp435.46MB
  41. 8. Python for Data Visualization - Matplotlib/5. Matplotlib Part 3.mp431.9MB
  42. 8. Python for Data Visualization - Matplotlib/6. Matplotlib Exercises Overview.mp47.72MB
  43. 8. Python for Data Visualization - Matplotlib/7. Matplotlib Exercises - Solutions.mp432.8MB
  44. 9. Python for Data Visualization - Seaborn/1. Introduction to Seaborn.mp411.59MB
  45. 9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp461.74MB
  46. 9. Python for Data Visualization - Seaborn/3. Categorical Plots.mp444.38MB
  47. 9. Python for Data Visualization - Seaborn/4. Matrix Plots.mp425.41MB
  48. 9. Python for Data Visualization - Seaborn/5. Grids.mp423.94MB
  49. 9. Python for Data Visualization - Seaborn/6. Regression Plots.mp418.03MB
  50. 9. Python for Data Visualization - Seaborn/7. Style and Color.mp422.69MB
  51. 9. Python for Data Visualization - Seaborn/8. Seaborn Exercise Overview.mp48.25MB
  52. 9. Python for Data Visualization - Seaborn/9. Seaborn Exercise Solutions.mp424.23MB
  53. 10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.mp436.88MB
  54. 10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.mp46.56MB
  55. 10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.mp435.91MB
  56. 11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.mp415.63MB
  57. 11. Python for Data Visualization - Plotly and Cufflinks/3. Plotly and Cufflinks.mp462.6MB
  58. 12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.mp42.15MB
  59. 12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.mp454.96MB
  60. 12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.mp424.42MB
  61. 12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.mp412.87MB
  62. 12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.mp433.46MB
  63. 13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.mp410.98MB
  64. 13. Data Capstone Project/2. 911 Calls Project Overview.mp411.45MB
  65. 13. Data Capstone Project/3. 911 Calls Solutions - Part 1.mp449.16MB
  66. 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp458.83MB
  67. 13. Data Capstone Project/6. Finance Data Project Overview.mp416.38MB
  68. 13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp460.46MB
  69. 13. Data Capstone Project/8. Finance Project - Solutions Part 2.mp455.85MB
  70. 13. Data Capstone Project/9. Finance Project - Solutions Part 3.mp419.92MB
  71. 14. Introduction to Machine Learning/2. Welcome to the Machine Learning Section!.mp419.51MB
  72. 14. Introduction to Machine Learning/3. Supervised Learning Overview.mp440.05MB
  73. 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp482.71MB
  74. 14. Introduction to Machine Learning/5. Evaluating Performance - Regression Error Metrics.mp423.69MB
  75. 14. Introduction to Machine Learning/6. Machine Learning with Python.mp418.79MB
  76. 15. Linear Regression/1. Linear Regression Theory.mp49.9MB
  77. 15. Linear Regression/3. Linear Regression with Python - Part 1.mp452.3MB
  78. 15. Linear Regression/4. Linear Regression with Python - Part 2.mp419.27MB
  79. 15. Linear Regression/5. Linear Regression Project Overview.mp414.2MB
  80. 15. Linear Regression/6. Linear Regression Project Solution.mp456.46MB
  81. 16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.mp412.94MB
  82. 17. Logistic Regression/1. Logistic Regression Theory.mp423.54MB
  83. 17. Logistic Regression/2. Logistic Regression with Python - Part 1.mp449.04MB
  84. 17. Logistic Regression/3. Logistic Regression with Python - Part 2.mp438.83MB
  85. 17. Logistic Regression/4. Logistic Regression with Python - Part 3.mp420.02MB
  86. 17. Logistic Regression/5. Logistic Regression Project Overview.mp46.66MB
  87. 17. Logistic Regression/6. Logistic Regression Project Solutions.mp436.69MB
  88. 18. K Nearest Neighbors/1. KNN Theory.mp411.17MB
  89. 18. K Nearest Neighbors/2. KNN with Python.mp454.68MB
  90. 18. K Nearest Neighbors/3. KNN Project Overview.mp47.11MB
  91. 18. K Nearest Neighbors/4. KNN Project Solutions.mp470.85MB
  92. 19. Decision Trees and Random Forests/1. Introduction to Tree Methods.mp413.49MB
  93. 19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.mp449.09MB
  94. 19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.mp415.43MB
  95. 19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.mp436.72MB
  96. 19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.mp432.3MB
  97. 20. Support Vector Machines/1. SVM Theory.mp49.9MB
  98. 20. Support Vector Machines/2. Support Vector Machines with Python.mp456.15MB
  99. 20. Support Vector Machines/3. SVM Project Overview.mp411.18MB
  100. 20. Support Vector Machines/4. SVM Project Solutions.mp433.57MB
  101. 21. K Means Clustering/1. K Means Algorithm Theory.mp410.99MB
  102. 21. K Means Clustering/2. K Means with Python.mp434.62MB
  103. 21. K Means Clustering/3. K Means Project Overview.mp411.57MB
  104. 21. K Means Clustering/4. K Means Project Solutions.mp456.73MB
  105. 22. Principal Component Analysis/1. Principal Component Analysis.mp47.12MB
  106. 22. Principal Component Analysis/2. PCA with Python.mp449.81MB
  107. 23. Recommender Systems/1. Recommender Systems.mp49.1MB
  108. 23. Recommender Systems/2. Recommender Systems with Python - Part 1.mp443.4MB
  109. 23. Recommender Systems/3. Recommender Systems with Python - Part 2.mp439.41MB
  110. 24. Natural Language Processing/1. Natural Language Processing Theory.mp49.82MB
  111. 24. Natural Language Processing/2. NLP with Python - Part 1.mp447.41MB
  112. 24. Natural Language Processing/3. NLP with Python - Part 2.mp449.09MB
  113. 24. Natural Language Processing/4. NLP with Python - Part 3.mp443.49MB
  114. 24. Natural Language Processing/5. NLP Project Overview.mp48.45MB
  115. 24. Natural Language Processing/6. NLP Project Solutions.mp457.7MB
  116. 25. Neural Nets and Deep Learning/3. Welcome to the Deep Learning Section!.mp413.35MB
  117. 25. Neural Nets and Deep Learning/4. Introduction to Artificial Neural Networks (ANN).mp49.66MB
  118. 25. Neural Nets and Deep Learning/6. Perceptron Model.mp448MB
  119. 25. Neural Nets and Deep Learning/7. Neural Networks.mp435.92MB
  120. 25. Neural Nets and Deep Learning/8. Activation Functions.mp462.58MB
  121. 25. Neural Nets and Deep Learning/9. Multi-Class Classification Considerations.mp446.05MB
  122. 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp475.98MB
  123. 25. Neural Nets and Deep Learning/11. Backpropagation.mp457.95MB
  124. 25. Neural Nets and Deep Learning/12. TensorFlow vs Keras.mp410.46MB
  125. 25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part One - Preparing the Data.mp450.35MB
  126. 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp484.31MB
  127. 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp464.78MB
  128. 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4136.96MB
  129. 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp476.2MB
  130. 25. Neural Nets and Deep Learning/18. TF Regression Code Along - Data Preprocessing and Creating a Model.mp447MB
  131. 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp468.93MB
  132. 25. Neural Nets and Deep Learning/20. TF Classification Code Along - EDA and Preprocessing.mp456.21MB
  133. 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4111.33MB
  134. 25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Options Overview.mp47.86MB
  135. 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp480.53MB
  136. 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4143.62MB
  137. 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp496.82MB
  138. 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp485.38MB
  139. 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4124.95MB
  140. 25. Neural Nets and Deep Learning/28. Keras Project Solutions - Data PreProcessing.mp423.98MB
  141. 25. Neural Nets and Deep Learning/29. Keras Project Solutions - Creating and Training a Model.mp429.74MB
  142. 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp463.11MB
  143. 26. Big Data and Spark with Python/1. Welcome to the Big Data Section!.mp414.24MB
  144. 26. Big Data and Spark with Python/2. Big Data Overview.mp411.3MB
  145. 26. Big Data and Spark with Python/3. Spark Overview.mp417.5MB
  146. 26. Big Data and Spark with Python/5. AWS Account Set-Up.mp413.11MB
  147. 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp486.53MB
  148. 26. Big Data and Spark with Python/8. SSH with Mac or Linux.mp410.9MB
  149. 26. Big Data and Spark with Python/9. PySpark Setup.mp470.63MB
  150. 26. Big Data and Spark with Python/10. Lambda Expressions Review.mp410.32MB
  151. 26. Big Data and Spark with Python/11. Introduction to Spark and Python.mp418.09MB
  152. 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp470.81MB
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