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[] Udemy - Introduction to Machine Learning for Data Science

  • 收录时间:2019-11-16 03:55:01
  • 文件大小:2GB
  • 下载次数:115
  • 最近下载:2021-01-20 18:04:06
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文件列表

  1. 10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Foundations of Machine Learning and Data Science - Algorithms, concepts and more.mp4 121MB
  2. 7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Introduction and Setup.mp4 120MB
  3. 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/4. A Titanic Example - Preparing the right data and applying a basic algorithm.mp4 115MB
  4. 13. Section 7 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Conclusions - for our Titanic Example, important concepts and where to go next!.mp4 101MB
  5. 11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.mp4 99MB
  6. 7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. What will we cover!.mp4 96MB
  7. 9. Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Hands on Running Python.mp4 95MB
  8. 11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introducing the essential modules for Machine Learning, and NumPy Basics.mp4 95MB
  9. 10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Foundations of Machine Learning and Data Science - Definitions and concepts..mp4 94MB
  10. 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..mp4 89MB
  11. 11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn.mp4 84MB
  12. 7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introduction and Anaconda Installation.mp4 78MB
  13. 10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.mp4 76MB
  14. 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. A Titanic Example - Understanding the data set..mp4 73MB
  15. 3. Impacts, Importance and examples/3. Computers exploding! - The explosive growth of computer power explained..mp4 73MB
  16. 8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Crash course in Python - Strings, Slices and Lists!.mp4 67MB
  17. 8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Crash course in Python - Beginning concepts.mp4 62MB
  18. 8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/4. Crash course in Python - Functions, Scope, Dictionaries and more!.mp4 57MB
  19. 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/6. A Titanic Example - Applying Decision Trees (example of overfit and underfit).mp4 56MB
  20. 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. A Titanic Example - Understanding the data set in regards to survival.mp4 55MB
  21. 8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Crash course in Python - Expressions, Operators, Conditions and Loops.mp4 52MB
  22. 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/5. A Titanic Example - Applying regression algorithms..mp4 50MB
  23. 2. Core Concepts/9. What is Artificial Intelligence (AI).mp4 43MB
  24. 2. Core Concepts/10. What is Machine Learning - Part 1 - The ideas.mp4 38MB
  25. 1. Introduction/4. Course Overview.mp4 37MB
  26. 3. Impacts, Importance and examples/5. Where it's transforming our lives.mp4 33MB
  27. 2. Core Concepts/6. Computer Science - Definition Revisited & The Greatest lie ever SOLD.....mp4 33MB
  28. 14. Retired Lectures/2. Computer Science - Definition Revisited & The Greatest lie ever SOLD.....mp4 32MB
  29. 4. The Machine Learning Process/4. 2 - Identifying, obtaining, and preparing the right data.mp4 32MB
  30. 1. Introduction/1. Course Promotion Video.mp4 32MB
  31. 4. The Machine Learning Process/5. 3 - Identifying and applying a ML Algorithm.mp4 32MB
  32. 14. Retired Lectures/1. #4 - Secret sauce inside! How to get the most out of this course.mp4 31MB
  33. 2. Core Concepts/1. Core Concepts Overview.mp4 30MB
  34. 3. Impacts, Importance and examples/2. Why is this important now.mp4 26MB
  35. 1. Introduction/5. Secret sauce inside! How to get the most out of this course..mp4 24MB
  36. 2. Core Concepts/11. What is Machine Learning - Part 2 - An Example.mp4 24MB
  37. 2. Core Concepts/7. What's big data.mp4 24MB
  38. 2. Core Concepts/3. What's Data I can see data everywhere!.mp4 23MB
  39. 4. The Machine Learning Process/1. The Machine Learning Process - Overview.mp4 20MB
  40. 2. Core Concepts/12. What is data science.mp4 18MB
  41. 1. Introduction/2. A special message for hard of hearing and ESL students.mp4 18MB
  42. 3. Impacts, Importance and examples/4. What problems does Machine Learning Solve.mp4 17MB
  43. 1. Introduction/3. Thank you for investing in this Course!.mp4 15MB
  44. 3. Impacts, Importance and examples/1. Impacts, Importance and examples - Overview.mp4 13MB
  45. 4. The Machine Learning Process/6. 4 - Evaluating the performance of the model and adjusting.mp4 11MB
  46. 2. Core Concepts/13. Recap & How do these relate to each other.mp4 11MB
  47. 2. Core Concepts/4. Structured vs Unstructured Data.mp4 9MB
  48. 4. The Machine Learning Process/3. 1 - Asking the right question.mp4 8MB
  49. 5. How to apply Machine Learning for Data Science/5. Data Science using - Python.mp4 7MB
  50. 5. How to apply Machine Learning for Data Science/3. Common platforms and tools for Data Science.mp4 6MB
  51. 4. The Machine Learning Process/2. 5 Step Machine Learning Process Overview.mp4 6MB
  52. 6. Conclusion/1. All done! What's next.mp4 6MB
  53. 5. How to apply Machine Learning for Data Science/6. Data Science using SQL.mp4 6MB
  54. 5. How to apply Machine Learning for Data Science/1. How to apply Machine Learning for Data Science - Overview.mp4 5MB
  55. 5. How to apply Machine Learning for Data Science/4. Data Science using - R.mp4 5MB
  56. 4. The Machine Learning Process/7. 5 - Using and presenting the model.mp4 5MB
  57. 5. How to apply Machine Learning for Data Science/7. Data Science using Excel.mp4 5MB
  58. 5. How to apply Machine Learning for Data Science/9. Cautionary Tales.mp4 5MB
  59. 2. Core Concepts/2. Computer Science - the `Train Wreck' Definition.mp4 4MB
  60. 5. How to apply Machine Learning for Data Science/2. Where to begin your journey.mp4 3MB
  61. 5. How to apply Machine Learning for Data Science/8. Data Science using RapidMiner.mp4 3MB
  62. 15. Bonus Content/1.1 The startling breakthrough in Machine Learning from 2016.pdf.pdf.pdf 447KB
  63. 2. Core Concepts/13.1 byds-diagram.pdf.pdf 271KB
  64. 1. Introduction/4.1 Course Syllabus.pdf.pdf 265KB
  65. 8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1.1 python_3.x_cheat_sheet.pdf.pdf 85KB
  66. 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/6.2 tree-overfit.pdf.pdf 54KB
  67. 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/6.1 tree-pruned.pdf.pdf 26KB
  68. 2. Core Concepts/9. What is Artificial Intelligence (AI).vtt 19KB
  69. 4. The Machine Learning Process/5. 3 - Identifying and applying a ML Algorithm.vtt 18KB
  70. 2. Core Concepts/10. What is Machine Learning - Part 1 - The ideas.vtt 18KB
  71. 4. The Machine Learning Process/4. 2 - Identifying, obtaining, and preparing the right data.vtt 18KB
  72. 3. Impacts, Importance and examples/3. Computers exploding! - The explosive growth of computer power explained..vtt 17KB
  73. 3. Impacts, Importance and examples/5. Where it's transforming our lives.vtt 15KB
  74. 2. Core Concepts/6. Computer Science - Definition Revisited & The Greatest lie ever SOLD.....vtt 15KB
  75. 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/4. A Titanic Example - Preparing the right data and applying a basic algorithm.vtt 13KB
  76. 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. A Titanic Example - Understanding the data set..vtt 12KB
  77. 9. Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Hands on Running Python.vtt 12KB
  78. 11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.vtt 11KB
  79. 14. Retired Lectures/2. Computer Science - Definition Revisited & The Greatest lie ever SOLD.....vtt 11KB
  80. 3. Impacts, Importance and examples/2. Why is this important now.vtt 11KB
  81. 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..vtt 11KB
  82. 2. Core Concepts/11. What is Machine Learning - Part 2 - An Example.vtt 10KB
  83. 7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Introduction and Setup.vtt 10KB
  84. 2. Core Concepts/7. What's big data.vtt 10KB
  85. 2. Core Concepts/3. What's Data I can see data everywhere!.vtt 9KB
  86. 10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Foundations of Machine Learning and Data Science - Algorithms, concepts and more.vtt 9KB
  87. 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. A Titanic Example - Understanding the data set in regards to survival.vtt 9KB
  88. 8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Crash course in Python - Strings, Slices and Lists!.vtt 8KB
  89. 11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introducing the essential modules for Machine Learning, and NumPy Basics.vtt 8KB
  90. 7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. What will we cover!.vtt 8KB
  91. 2. Core Concepts/12. What is data science.vtt 8KB
  92. 15. Bonus Content/1. Bonus Article - The startling breakthrough in Machine Learning from 2016..html 8KB
  93. 3. Impacts, Importance and examples/4. What problems does Machine Learning Solve.vtt 8KB
  94. 8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Crash course in Python - Beginning concepts.vtt 7KB
  95. 1. Introduction/5. Secret sauce inside! How to get the most out of this course..vtt 7KB
  96. 4. The Machine Learning Process/6. 4 - Evaluating the performance of the model and adjusting.vtt 7KB
  97. 13. Section 7 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Conclusions - for our Titanic Example, important concepts and where to go next!.vtt 7KB
  98. 8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Crash course in Python - Expressions, Operators, Conditions and Loops.vtt 7KB
  99. 10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Foundations of Machine Learning and Data Science - Definitions and concepts..vtt 7KB
  100. 8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/4. Crash course in Python - Functions, Scope, Dictionaries and more!.vtt 7KB
  101. 14. Retired Lectures/1. #4 - Secret sauce inside! How to get the most out of this course.vtt 6KB
  102. 11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn.vtt 6KB
  103. 10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.vtt 6KB
  104. 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/5. A Titanic Example - Applying regression algorithms..vtt 6KB
  105. 7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introduction and Anaconda Installation.vtt 6KB
  106. 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/6. A Titanic Example - Applying Decision Trees (example of overfit and underfit).vtt 6KB
  107. 1. Introduction/4. Course Overview.vtt 5KB
  108. 2. Core Concepts/13. Recap & How do these relate to each other.vtt 5KB
  109. 4. The Machine Learning Process/3. 1 - Asking the right question.vtt 5KB
  110. 5. How to apply Machine Learning for Data Science/5. Data Science using - Python.vtt 4KB
  111. 1. Introduction/1. Course Promotion Video.vtt 4KB
  112. 2. Core Concepts/4. Structured vs Unstructured Data.vtt 4KB
  113. 5. How to apply Machine Learning for Data Science/4. Data Science using - R.vtt 3KB
  114. 4. The Machine Learning Process/7. 5 - Using and presenting the model.vtt 3KB
  115. 5. How to apply Machine Learning for Data Science/3. Common platforms and tools for Data Science.vtt 3KB
  116. 5. How to apply Machine Learning for Data Science/7. Data Science using Excel.vtt 3KB
  117. 5. How to apply Machine Learning for Data Science/9. Cautionary Tales.vtt 3KB
  118. 5. How to apply Machine Learning for Data Science/6. Data Science using SQL.vtt 3KB
  119. 4. The Machine Learning Process/2. 5 Step Machine Learning Process Overview.vtt 3KB
  120. 2. Core Concepts/1. Core Concepts Overview.vtt 3KB
  121. 4. The Machine Learning Process/1. The Machine Learning Process - Overview.vtt 2KB
  122. 5. How to apply Machine Learning for Data Science/8. Data Science using RapidMiner.vtt 2KB
  123. 1. Introduction/3. Thank you for investing in this Course!.vtt 1KB
  124. 5. How to apply Machine Learning for Data Science/2. Where to begin your journey.vtt 1KB
  125. 2. Core Concepts/2. Computer Science - the `Train Wreck' Definition.vtt 1KB
  126. 1. Introduction/2. A special message for hard of hearing and ESL students.vtt 1KB
  127. 6. Conclusion/1. All done! What's next.vtt 1KB
  128. 3. Impacts, Importance and examples/1. Impacts, Importance and examples - Overview.vtt 1KB
  129. 5. How to apply Machine Learning for Data Science/1. How to apply Machine Learning for Data Science - Overview.vtt 897B
  130. 2. Core Concepts/5. Structured and Unstructured Data.html 139B
  131. 2. Core Concepts/8. Big Data - Quiz.html 139B
  132. 4. The Machine Learning Process/8. Machine Learning - Process.html 139B
  133. [FreeCourseLab.com].url 126B