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Python for Data Science and Machine Learning Bootcamp (2020-05)

chesskom
Apr 6th, 2023
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  1. Python for Data Science and Machine Learning Bootcamp
  2. 27 sections • 165 lectures • 24h 54m total length
  3. 2020-05 | e-Learning | English | MP4, ZIP | 8.18 GB
  4.  
  5. Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more!
  6.  
  7.  
  8. DOWNLOAD:
  9. -------------------------
  10. https://wplik.com/2sw3mld4jmw9/py-4-dat-sci-n-mac-lea-bc-2020-05.part1.rar
  11. https://wplik.com/o4fiy3sw2dfv/py-4-dat-sci-n-mac-lea-bc-2020-05.part2.rar
  12. https://wplik.com/xp9jcrs3in9y/py-4-dat-sci-n-mac-lea-bc-2020-05.part3.rar
  13. https://wplik.com/i20svvh4ntqp/py-4-dat-sci-n-mac-lea-bc-2020-05.part4.rar
  14. https://wplik.com/l695wzcrdax2/py-4-dat-sci-n-mac-lea-bc-2020-05.part5.rar
  15. https://wplik.com/f3n8n1n152w7/py-4-dat-sci-n-mac-lea-bc-2020-05.part6.rar
  16. https://wplik.com/lfml3x05t079/py-4-dat-sci-n-mac-lea-bc-2020-05.part7.rar
  17. https://wplik.com/eppjigbueyva/py-4-dat-sci-n-mac-lea-bc-2020-05.part8.rar
  18. https://wplik.com/pivdkwcvfs6z/py-4-dat-sci-n-mac-lea-bc-2020-05.part9.rar
  19. -------------------------
  20. https://rosefile.net/f3m5pf7gs5/py-4-dat-sci-n-mac-lea-bc-2020-05.part1.rar.html
  21. https://rosefile.net/kgc5ggy9rf/py-4-dat-sci-n-mac-lea-bc-2020-05.part2.rar.html
  22. https://rosefile.net/auyy2immcg/py-4-dat-sci-n-mac-lea-bc-2020-05.part3.rar.html
  23. https://rosefile.net/bniaqb5mq4/py-4-dat-sci-n-mac-lea-bc-2020-05.part4.rar.html
  24. https://rosefile.net/s6njkt98wa/py-4-dat-sci-n-mac-lea-bc-2020-05.part5.rar.html
  25. https://rosefile.net/ye5pyou5yv/py-4-dat-sci-n-mac-lea-bc-2020-05.part6.rar.html
  26. https://rosefile.net/ftpwpqmj4v/py-4-dat-sci-n-mac-lea-bc-2020-05.part7.rar.html
  27. https://rosefile.net/t94o3yuk5u/py-4-dat-sci-n-mac-lea-bc-2020-05.part8.rar.html
  28. https://rosefile.net/rm23ocxd9i/py-4-dat-sci-n-mac-lea-bc-2020-05.part9.rar.html
  29. -------------------------
  30. https://egofiles.net/28b351f23f089da1/py-4-dat-sci-n-mac-lea-bc-2020-05.part1.rar
  31. https://egofiles.net/994ddc683af47e3e/py-4-dat-sci-n-mac-lea-bc-2020-05.part2.rar
  32. https://egofiles.net/f4337807b7b69048/py-4-dat-sci-n-mac-lea-bc-2020-05.part3.rar
  33. https://egofiles.net/18d67688e96ca741/py-4-dat-sci-n-mac-lea-bc-2020-05.part4.rar
  34. https://egofiles.net/a19d17be295d405b/py-4-dat-sci-n-mac-lea-bc-2020-05.part5.rar
  35. https://egofiles.net/ef8159fb369eedd2/py-4-dat-sci-n-mac-lea-bc-2020-05.part6.rar
  36. https://egofiles.net/5ac5b63e03392ced/py-4-dat-sci-n-mac-lea-bc-2020-05.part7.rar
  37. https://egofiles.net/3f33300378589427/py-4-dat-sci-n-mac-lea-bc-2020-05.part8.rar
  38. https://egofiles.net/ff9a2dc641b31354/py-4-dat-sci-n-mac-lea-bc-2020-05.part9.rar
  39. -------------------------
  40. https://rg.to/file/920cc7faf8f66540b55509211605c70d/py-4-dat-sci-n-mac-lea-bc-2020-05.part1.rar
  41. https://rg.to/file/fbb49d41bc420cd9c92f660fd03eb62e/py-4-dat-sci-n-mac-lea-bc-2020-05.part2.rar
  42. https://rg.to/file/886822cfb519920d58852b92536729f2/py-4-dat-sci-n-mac-lea-bc-2020-05.part3.rar
  43. https://rg.to/file/08e270a359e8e42addbcd18c99979bed/py-4-dat-sci-n-mac-lea-bc-2020-05.part4.rar
  44. https://rg.to/file/d465e662c68754721d14c6478a4d9232/py-4-dat-sci-n-mac-lea-bc-2020-05.part5.rar
  45. https://rg.to/file/547cacf038b7f2b440959580681e6fbf/py-4-dat-sci-n-mac-lea-bc-2020-05.part6.rar
  46. https://rg.to/file/2740018692f7f9c6255804da3892662e/py-4-dat-sci-n-mac-lea-bc-2020-05.part7.rar
  47. https://rg.to/file/a5fea550dc46c51e7d7ed4fa23591786/py-4-dat-sci-n-mac-lea-bc-2020-05.part8.rar
  48. https://rg.to/file/f10908311cff355dc6adfb7f6903b21e/py-4-dat-sci-n-mac-lea-bc-2020-05.part9.rar
  49. -------------------------
  50.  
  51.  
  52.  
  53. What you'll learn
  54. - Use Python for Data Science and Machine Learning
  55. - Use Spark for Big Data Analysis
  56. - Implement Machine Learning Algorithms
  57. - Learn to use NumPy for Numerical Data
  58. - Learn to use Pandas for Data Analysis
  59. - Learn to use Matplotlib for Python Plotting
  60. - Learn to use Seaborn for statistical plots
  61. - Use Plotly for interactive dynamic visualizations
  62. - Use SciKit-Learn for Machine Learning Tasks
  63. - K-Means Clustering
  64. - Logistic Regression
  65. - Linear Regression
  66. - Random Forest and Decision Trees
  67. - Natural Language Processing and Spam Filters
  68. - Neural Networks
  69. - Support Vector Machines
  70.  
  71. Requirements
  72. - Some programming experience
  73. - Admin permissions to download files
  74.  
  75. Description
  76.  
  77. Are you ready to start your path to becoming a Data Scientist!
  78.  
  79. This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
  80.  
  81. Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!
  82.  
  83. This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
  84.  
  85. This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy!
  86.  
  87. We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:
  88. - Programming with Python
  89. - NumPy with Python
  90. - Using pandas Data Frames to solve complex tasks
  91. - Use pandas to handle Excel Files
  92. - Web scraping with python
  93. - Connect Python to SQL
  94. - Use matplotlib and seaborn for data visualizations
  95. - Use plotly for interactive visualizations
  96. - Machine Learning with SciKit Learn, including:
  97. - Linear Regression
  98. - K Nearest Neighbors
  99. - K Means Clustering
  100. - Decision Trees
  101. - Random Forests
  102. - Natural Language Processing
  103. - Neural Nets and Deep Learning
  104. - Support Vector Machines
  105. - and much, much more!
  106.  
  107. Enroll in the course and become a data scientist today!
  108.  
  109. Who this course is for:
  110. - This course is meant for people with at least some programming experience.
  111.  
  112.  
  113.  
  114. MORE COURSES:
  115. -----------------------------------------
  116. https://rg.to/folder/6531533/WEBSITE.html
  117. ---------------------------------------------
  118. https://rg.to/folder/6432280/PROGRAMMING.html
  119. ------------------------------------------------
  120. https://rg.to/folder/5704524/ENGLISH_COURSE.html
  121. ------------------------------------------------
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