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Python & Machine Learning Mastery for Data Science Warriors (2023-12)

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Dec 15th, 2023 (edited)
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  1. Python & Machine Learning Mastery for Data Science Warriors
  2. 7 sections • 413 lectures • 51h 3m total length
  3. 2023-12 | e-Learning | English | HTML, MP4 | 15.94 GB
  4.  
  5. Master Data Science and Machine Learning with Python. From Fundamentals to Practical Projects.
  6.  
  7.  
  8. DOWNLOAD:
  9. -------------------------
  10. https://pobieraj.net/19lR/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part01.rar
  11. https://pobieraj.net/19lS/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part02.rar
  12. https://pobieraj.net/Jnn/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part03.rar
  13. https://pobieraj.net/Jlf/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part04.rar
  14. https://pobieraj.net/Jlh/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part05.rar
  15. https://pobieraj.net/Jls/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part06.rar
  16. https://pobieraj.net/Jlt/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part07.rar
  17. https://pobieraj.net/19my/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part08.rar
  18. https://pobieraj.net/19lT/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part09.rar
  19. https://pobieraj.net/Jl0/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part10.rar
  20. https://pobieraj.net/Jl5/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part11.rar
  21. https://pobieraj.net/Jog/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part12.rar
  22. https://pobieraj.net/Joh/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part13.rar
  23. https://pobieraj.net/Jqi/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part14.rar
  24. https://pobieraj.net/Jqh/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part15.rar
  25. https://pobieraj.net/19pS/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part16.rar
  26. -------------------------
  27. https://wrzucaj.pl/db3acab06f066ce1/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part01.rar
  28. https://wrzucaj.pl/6271b7d3bc041bc9/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part02.rar
  29. https://wrzucaj.pl/a79275613d90e5e4/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part03.rar
  30. https://wrzucaj.pl/fa1df1bf74c604d3/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part04.rar
  31. https://wrzucaj.pl/e1702c1a8b1f038b/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part05.rar
  32. https://wrzucaj.pl/3a754720ebd0362e/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part06.rar
  33. https://wrzucaj.pl/3d72563a69af501e/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part07.rar
  34. https://wrzucaj.pl/a1ac10be20b25a3f/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part08.rar
  35. https://wrzucaj.pl/c4c845c2326bb7a1/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part09.rar
  36. https://wrzucaj.pl/55a0be9a8bc9904b/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part10.rar
  37. https://wrzucaj.pl/7d5f91d81d077cb9/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part11.rar
  38. https://wrzucaj.pl/e6a9052d15ca2831/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part12.rar
  39. https://wrzucaj.pl/80ee391ddbc11128/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part13.rar
  40. https://wrzucaj.pl/76072ed32010a5c7/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part14.rar
  41. https://wrzucaj.pl/2fcfb1b91622cf71/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part15.rar
  42. https://wrzucaj.pl/2087690933060181/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part16.rar
  43. -------------------------
  44. https://nitroflare.com/view/56EE9C498307192/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part01.rar
  45. https://nitroflare.com/view/5618D7BC87652C5/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part02.rar
  46. https://nitroflare.com/view/07FB3036BB7B357/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part03.rar
  47. https://nitroflare.com/view/5BEDA3B2B9C8639/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part04.rar
  48. https://nitroflare.com/view/33B74B95B650447/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part05.rar
  49. https://nitroflare.com/view/09396887E99E3E4/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part06.rar
  50. https://nitroflare.com/view/429A039C5DF1E88/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part07.rar
  51. https://nitroflare.com/view/B540EB27F1469C2/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part08.rar
  52. https://nitroflare.com/view/87883B09E189DD3/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part09.rar
  53. https://nitroflare.com/view/12A44CF429F1722/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part10.rar
  54. https://nitroflare.com/view/2FCCBEE4765B562/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part11.rar
  55. https://nitroflare.com/view/E338605D9631611/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part12.rar
  56. https://nitroflare.com/view/FFA92BAE2EAF339/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part13.rar
  57. https://nitroflare.com/view/1BA554CBE219707/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part14.rar
  58. https://nitroflare.com/view/7FA2AABFB833DED/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part15.rar
  59. https://nitroflare.com/view/D01AD33B2CA4D48/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part16.rar
  60. -------------------------
  61. https://rg.to/file/920faa63869fde73032362d7bc4a85fe/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part01.rar
  62. https://rg.to/file/ab47093a1b0b92ecf90d6b3f2960a62b/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part02.rar
  63. https://rg.to/file/de7d93c3075195b2b5cca88f72946a30/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part03.rar
  64. https://rg.to/file/4b66b68e94faadec85692b90979a4622/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part04.rar
  65. https://rg.to/file/f15b6e4077fc303c792d6a8a07d3a19d/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part05.rar
  66. https://rg.to/file/04709b76e0ddacdea1eaa9507ceb9a61/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part06.rar
  67. https://rg.to/file/bb64f9754e674744d7dce94a91d3fd99/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part07.rar
  68. https://rg.to/file/800fbd25527de3a76764e221a1fa49bf/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part08.rar
  69. https://rg.to/file/caa2c0a8e5b6f10d213fb6ec1ab2b996/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part09.rar
  70. https://rg.to/file/91fea6566d23b1a02ca7cd5b580e66af/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part10.rar
  71. https://rg.to/file/3b4add5f6356459afd9369ef22fa891e/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part11.rar
  72. https://rg.to/file/51140e9956f7d30e7fcd3eb7755dbf02/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part12.rar
  73. https://rg.to/file/46a1f585f75a58130b10f508d72f3c40/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part13.rar
  74. https://rg.to/file/a9fe7b0aa83e1cf0bcf49df1ad316cf1/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part14.rar
  75. https://rg.to/file/2fded2936e292e8a9711866276cb7fb0/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part15.rar
  76. https://rg.to/file/f80d197e83872d9df0f2dbd34de24ac4/py-n-mac-lea-mas-4-dat-sci-war-2023-12.part16.rar
  77. -------------------------
  78.  
  79.  
  80.  
  81. What you'll learn
  82. - Python Foundations for Data Science: Master Python basics, data structures, and manipulation using NumPy and Pandas.
  83. - Data Visualization and Preprocessing: Explore data visualization libraries, conduct exploratory data analysis, and implement preprocessing methods.
  84. - Machine Learning Fundamentals: Understand core machine learning concepts, build, optimize, and validate models, and manage performance metrics.
  85. - Dive deep into Support Vector Machines (SVM), Random Forests, and Logistic Regression, understanding their implementations and applications.
  86. - Engage in real-world projects such as predicting home prices, email classification, car price forecasting, customer segmentation, and employee retention.
  87.  
  88. Requirements
  89. - No Prior knowledge is required at all.
  90.  
  91. Description
  92.  
  93. Welcome to our comprehensive course on data science and machine learning with Python. This course is designed to provide you with a structured and in-depth learning experience, encompassing seven distinct modules to help you become proficient in this dynamic field.
  94.  
  95. Holistic Learning: From mastering the fundamentals of Python to delving into advanced machine learning techniques, you'll gain a deep understanding of every stage in data science.
  96.  
  97. Practical Application: Engage in hands-on projects that simulate real-world scenarios, equipping you with practical skills that can be immediately applied.
  98.  
  99. Career Readiness: Develop highly sought-after competencies in Python, data manipulation, visualization, and various machine learning algorithms, making you job-ready in the data science field.
  100.  
  101. Course Outline:
  102.  
  103. Introduction:
  104. Dive into an immersive exploration of Python's capabilities in data science and machine learning. This course integrates seven modules into a cohesive learning experience, guiding you from Python basics to advanced machine learning algorithms. Through practical projects, you'll discover how Python transforms theoretical knowledge into essential skills for data analysis and prediction.
  105.  
  106. Module 1: Python Foundations for Data Science
  107. - Master Python basics and syntax.
  108. - Data structures and manipulation with NumPy and Pandas.
  109. - Hands-on projects for practical learning.
  110.  
  111. Module 2: Data Visualization and Preprocessing in Python
  112. - Explore data visualization libraries
  113. - Conduct exploratory data analysis techniques.
  114. - Implement data preprocessing methods for machine learning.
  115.  
  116. Module 3: Machine Learning Fundamentals
  117. - Understand core machine learning concepts.
  118. - Build, optimize, and validate models.
  119. - Manage overfitting, generalization, and performance metrics.
  120.  
  121. Module 4: Specialized Topics in Machine Learning
  122. - Deep dive into Support Vector Machines (SVM).
  123. - Understand Random Forests: Implementation and Applications.
  124. - Explore Logistic Regression: Theory and Practical Implementation.
  125.  
  126. Module 5: Hands-On Machine Learning Projects
  127. - Project 1: Predicting Home Prices Using Linear Regression.
  128. - Project 2: Email Filtering with Naive Bayes Classifier.
  129. - Project 3: Predicting Car Prices Using Neural Networks.
  130. - Project 4: Customer Segmentation with K-Means.
  131. - Project 5: Employee Retention Prediction with Logistic Regression.
  132.  
  133. Conclusion:
  134. - Summarize key learnings across modules.
  135. - Encourage further exploration and practice.
  136. - Highlight opportunities and applications in data science and machine learning.
  137.  
  138. This course promises a comprehensive exploration of Python for data science and machine learning, aiming to equip you with a blend of theoretical knowledge and practical skills essential for success in this dynamic field.
  139.  
  140. Why This Course:
  141. Are you eager to embark on an exciting journey into the world of data science and machine learning with Python? This course offers the perfect blend of theory and hands-on experience, equipping you with the skills and knowledge necessary for a successful career in this rapidly evolving field. Whether you're a beginner looking to start your data science adventure or an aspiring professional seeking to enhance your expertise, this course is your gateway to mastering Python for data science and machine learning.
  142.  
  143. Who Will Take This Course:
  144. - Aspiring Data Scientists: If you're passionate about data and want to kickstart a career in data science, this course provides the foundation you need.
  145. - Python Enthusiasts: If you're already familiar with Python and want to leverage it for data analysis and machine learning, this course is the perfect next step.
  146. - Professionals Seeking Advancement: If you're working in data-related roles and want to upskill to stay competitive or transition into data science, this course is tailored to your needs.
  147. - Anyone Curious About Data: If you're simply curious about the world of data science and want to explore its possibilities, this course welcomes learners of all backgrounds.
  148.  
  149. What You Will Learn: Throughout this course, you will acquire a diverse set of skills and knowledge, including:
  150. - Mastery of Python fundamentals, syntax, and data structures.
  151. - Proficiency in data manipulation and preprocessing using NumPy and Pandas.
  152. - Expertise in data visualization techniques to gain insights from data.
  153. - A deep understanding of core machine learning concepts and algorithms.
  154. - Hands-on experience in building, optimizing, and validating machine learning models.
  155. - Knowledge of specialized topics such as Support Vector Machines, Random Forests, and Logistic Regression.
  156. - Practical implementation skills through a series of real-world projects.
  157. - The ability to predict home prices, filter emails, segment customers, and more using machine learning.
  158. - A comprehensive grasp of data science and machine learning, making you job-ready in these fields.
  159.  
  160. This course not only equips you with essential skills but also provides you with the confidence to tackle complex data science challenges. Whether you aspire to become a data scientist, analyst, or simply want to harness the power of data, this course is your key to success. Join us on this exciting journey into the world of data science and machine learning with Python!
  161.  
  162. Keywords: Machine Learning Training, Python for Data Analysis, Data Visualization Tutorial, Machine Learning Algorithms, Python Programming for ML, Data Science Projects, Hands-On ML with Python, Data Manipulation Techniques, Python Data Science Certification, Data Science Python Course.
  163.  
  164. Who this course is for:
  165. - Aspiring Data Scientists: Individuals eager to kickstart or enhance their career in data science.
  166. - Python Enthusiasts: Those looking to leverage Python's capabilities specifically for data analysis and machine learning.
  167. - Professionals Seeking Skill Enhancement: Anyone aiming to strengthen their expertise in data manipulation, visualization, and machine learning algorithms.
  168. - Individuals curious about delving into the realms of data science and machine learning, regardless of prior experience.
  169.  
  170.  
  171.  
  172.  
  173. MORE COURSES:
  174. -----------------------------------------
  175. https://rg.to/folder/6531533/WEBSITE.html
  176. ---------------------------------------------
  177. https://rg.to/folder/6432280/PROGRAMMING.html
  178. ------------------------------------------------
  179. https://rg.to/folder/5704524/ENGLISH_COURSE.html
  180. ------------------------------------------------
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