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Complete Python for Data Science & Machine Learning from A-Z (2023-05)

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May 10th, 2023
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  1. Complete Python for Data Science & Machine Learning from A-Z
  2. 67 sections • 318 lectures • 43h 28m total length
  3. 2023-05 | e-Learning | English | HTML, MP4 | 12.24 GB
  4.  
  5. Python with Machine Learning & Data Science, Data Visualization, Numpy and Pandas for Data Analysis, Kaggle projects from A-Z.
  6.  
  7.  
  8. DOWNLOAD:
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  10. https://wplik.com/v1t9kapzasy9/py-az-2023-05.part01.rar
  11. https://wplik.com/hsb1h1vap60f/py-az-2023-05.part02.rar
  12. https://wplik.com/z50ub330uhv3/py-az-2023-05.part03.rar
  13. https://wplik.com/ufzw78ciepk1/py-az-2023-05.part04.rar
  14. https://wplik.com/iw22vbg0i99s/py-az-2023-05.part05.rar
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  16. https://wplik.com/6qh6z5o5j92g/py-az-2023-05.part07.rar
  17. https://wplik.com/f5hdlhbvde8t/py-az-2023-05.part08.rar
  18. https://wplik.com/xm5v5pfmxn6b/py-az-2023-05.part09.rar
  19. https://wplik.com/3u6ab3an07ut/py-az-2023-05.part10.rar
  20. https://wplik.com/syer221mpr5c/py-az-2023-05.part11.rar
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  22. https://wrzucaj.pl/db737f606886eaac/py-az-2023-05.part01.rar
  23. https://wrzucaj.pl/df63c82798d97dd7/py-az-2023-05.part02.rar
  24. https://wrzucaj.pl/bf9d8496e6f5f1bc/py-az-2023-05.part03.rar
  25. https://wrzucaj.pl/7f599e2716598320/py-az-2023-05.part04.rar
  26. https://wrzucaj.pl/64749eea3e96d636/py-az-2023-05.part05.rar
  27. https://wrzucaj.pl/a664b7e97f0ed4fd/py-az-2023-05.part06.rar
  28. https://wrzucaj.pl/cfb50e44cf02811b/py-az-2023-05.part07.rar
  29. https://wrzucaj.pl/a366bacd395fdd71/py-az-2023-05.part08.rar
  30. https://wrzucaj.pl/8bd55514203ec5ab/py-az-2023-05.part09.rar
  31. https://wrzucaj.pl/8ab3dc75068cc6c1/py-az-2023-05.part10.rar
  32. https://wrzucaj.pl/ba331192599b4862/py-az-2023-05.part11.rar
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  34. https://rosefile.net/agkggexssc/py-az-2023-05.part01.rar.html
  35. https://rosefile.net/06wcq5rnfv/py-az-2023-05.part02.rar.html
  36. https://rosefile.net/usc67n1cs1/py-az-2023-05.part03.rar.html
  37. https://rosefile.net/bz6uihnrre/py-az-2023-05.part04.rar.html
  38. https://rosefile.net/v4lzsu6fsa/py-az-2023-05.part05.rar.html
  39. https://rosefile.net/d4vnl9uk20/py-az-2023-05.part06.rar.html
  40. https://rosefile.net/89ieukrn88/py-az-2023-05.part07.rar.html
  41. https://rosefile.net/vema3i7f6t/py-az-2023-05.part08.rar.html
  42. https://rosefile.net/d3mgq671um/py-az-2023-05.part09.rar.html
  43. https://rosefile.net/r1f5wwdy08/py-az-2023-05.part10.rar.html
  44. https://rosefile.net/gc5r2n7e5p/py-az-2023-05.part11.rar.html
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  46. https://egofiles.net/3c1372d07cd3db4c/py-az-2023-05.part01.rar
  47. https://egofiles.net/1fb9c01946918127/py-az-2023-05.part02.rar
  48. https://egofiles.net/9903918b21025491/py-az-2023-05.part03.rar
  49. https://egofiles.net/71b3b678c1f223e5/py-az-2023-05.part04.rar
  50. https://egofiles.net/13bd49d8705bf0b7/py-az-2023-05.part05.rar
  51. https://egofiles.net/c3db7c5f12acc844/py-az-2023-05.part06.rar
  52. https://egofiles.net/8c6aac132e1668d4/py-az-2023-05.part07.rar
  53. https://egofiles.net/d09fc6f13e35d932/py-az-2023-05.part08.rar
  54. https://egofiles.net/1cb4d0fd309dfb34/py-az-2023-05.part09.rar
  55. https://egofiles.net/ba67a9a53c8c9b10/py-az-2023-05.part10.rar
  56. https://egofiles.net/10384d6c936ad662/py-az-2023-05.part11.rar
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  58. https://nitroflare.com/view/2AF242473B5B8E2/py-az-2023-05.part01.rar
  59. https://nitroflare.com/view/081C39C4B6482D4/py-az-2023-05.part02.rar
  60. https://nitroflare.com/view/25EA2A5607AEB88/py-az-2023-05.part03.rar
  61. https://nitroflare.com/view/254DEEF6F5868E1/py-az-2023-05.part04.rar
  62. https://nitroflare.com/view/2DB39B921C0DCD3/py-az-2023-05.part05.rar
  63. https://nitroflare.com/view/0E7358BF6AFDD42/py-az-2023-05.part06.rar
  64. https://nitroflare.com/view/92BDD1E38C6FF9F/py-az-2023-05.part07.rar
  65. https://nitroflare.com/view/0D397D719FAFBB4/py-az-2023-05.part08.rar
  66. https://nitroflare.com/view/A68B2414EAF9FCD/py-az-2023-05.part09.rar
  67. https://nitroflare.com/view/8FA31F392BFF39B/py-az-2023-05.part10.rar
  68. https://nitroflare.com/view/9DA8C19A7249742/py-az-2023-05.part11.rar
  69. -------------------------
  70. https://rg.to/file/09a32247f8d65d8e8aa4d9357befd053/py-az-2023-05.part01.rar
  71. https://rg.to/file/92342cd751e47f63f665251c605ee93a/py-az-2023-05.part02.rar
  72. https://rg.to/file/276bdc052116a011dbc732b87dccaabc/py-az-2023-05.part03.rar
  73. https://rg.to/file/2b958316cd167bb65e5c9bc6925dc034/py-az-2023-05.part04.rar
  74. https://rg.to/file/c4bb2edb59cd05e8d4d56f6b4bd5cc22/py-az-2023-05.part05.rar
  75. https://rg.to/file/f2dc5b79604d96a204c4be5b64020854/py-az-2023-05.part06.rar
  76. https://rg.to/file/37681a3e4894974db96380091b646080/py-az-2023-05.part07.rar
  77. https://rg.to/file/6e709503730a2ab3fd623e497f195e0f/py-az-2023-05.part08.rar
  78. https://rg.to/file/8ae0298702e153dae3019e21bb6508b8/py-az-2023-05.part09.rar
  79. https://rg.to/file/2fabd552a65f2f62c87dc8854a34912e/py-az-2023-05.part10.rar
  80. https://rg.to/file/d657b29f72d6c34200be4bcc97b38532/py-az-2023-05.part11.rar
  81. -------------------------
  82. https://icerbox.com/lVrBakdl/py-az-2023-05.part01.rar
  83. https://icerbox.com/Oxo7j0yg/py-az-2023-05.part02.rar
  84. https://icerbox.com/gDPmpx4g/py-az-2023-05.part03.rar
  85. https://icerbox.com/nMydQb6n/py-az-2023-05.part04.rar
  86. https://icerbox.com/ljjYQ2vl/py-az-2023-05.part05.rar
  87. https://icerbox.com/l087L97l/py-az-2023-05.part06.rar
  88. https://icerbox.com/lGYk72eO/py-az-2023-05.part07.rar
  89. https://icerbox.com/gYNeQeWO/py-az-2023-05.part08.rar
  90. https://icerbox.com/OXWzQz4g/py-az-2023-05.part09.rar
  91. https://icerbox.com/n2YBKBLO/py-az-2023-05.part10.rar
  92. https://icerbox.com/g3QrVr3n/py-az-2023-05.part11.rar
  93. -------------------------
  94.  
  95.  
  96.  
  97. What you'll learn
  98. - Pandas is an open source Python package that is most widely used for data science/data analysis and machine learning tasks.
  99. - Pandas is mainly used for data analysis and associated manipulation of tabular data in DataFrames.
  100. - Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.
  101. - Pandas Pyhon aims to be the fundamental high-level building block for doing practical, real world data analysis in Python
  102. - Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices.
  103. - NumPy aims to provide an array object that is up to 50x faster than traditional Python lists.
  104. - NumPy brings the computational power of languages like C and Fortran to Python.
  105. - Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries.
  106. - Learn Machine Learning with Hands-On Examples.
  107. - What is Machine Learning?
  108. - Python instructors on OAK Academy specialize in everything from software development to data analysis, and are known for their effective.
  109. - Python is a general-purpose, object-oriented, high-level programming language.
  110. - Python is a multi-paradigm language, which means that it supports many programming approaches. Along with procedural and functional programming styles.
  111. - Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis.
  112. - Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science, Python is one of the most important skills.
  113. - Its simple syntax and readability makes Python perfect for Flask, Django, data science, and machine learning.
  114. - Installing Anaconda Distribution for Windows.
  115. - Installing Anaconda Distribution for MacOs.
  116. - Installing Anaconda Distribution for Linux.
  117. - Reviewing The Jupyter Notebook.
  118. - Reviewing The Jupyter Lab.
  119. - Python Introduction.
  120. - First Step to Coding.
  121. - Using Quotation Marks in Python Coding.
  122. - How Should the Coding Form and Style Be (Pep8).
  123. - Introduction to Basic Data Structures in Python.
  124. - Performing Assignment to Variables.
  125. - Performing Complex Assignment to Variables.
  126. - Type Conversion.
  127. - Arithmetic Operations in Python.
  128. - Examining the Print Function in Depth.
  129. - Escape Sequence Operations.
  130. - Boolean Logic Expressions.
  131. - Order Of Operations In Boolean Operators.
  132. - Practice with Python.
  133. - Examining Strings Specifically.
  134. - Accessing Length Information (Len Method).
  135. - Search Method In Strings Startswith(), Endswith().
  136. - Character Change Method In Strings Replace().
  137. - Spelling Substitution Methods in String.
  138. - Character Clipping Methods in String.
  139. - Indexing and Slicing Character String.
  140. - Complex Indexing and Slicing Operations.
  141. - String Formatting with Arithmetic Operations.
  142. - String Formatting With % Operator.
  143. - String Formatting With String Format Method.
  144. - String Formatting With f-string Method.
  145. - Creation of List.
  146. - Reaching List Elements – Indexing and Slicing.
  147. - Adding & Modifying & Deleting Elements of List.
  148. - Adding and Deleting by Methods.
  149. - Adding and Deleting by Index.
  150. - Other List Methods.
  151. - Creation of Tuple.
  152. - Reaching Tuple Elements Indexing And Slicing.
  153. - Creation of Dictionary.
  154. - Reaching Dictionary Elements.
  155. - Adding & Changing & Deleting Elements in Dictionary.
  156. - Dictionary Methods.
  157. - Creation of Set.
  158. - Adding & Removing Elements Methods in Sets.
  159. - Difference Operation Methods In Sets.
  160. - Intersection & Union Methods In Sets.
  161. - Asking Questions to Sets with Methods.
  162. - Comparison Operators.
  163. - Structure of “if” Statements.
  164. - Structure of “if-else” Statements.
  165. - Structure of “if-elif-else” Statements.
  166. - Structure of Nested “if-elif-else” Statements.
  167. - Coordinated Programming with “IF” and “INPUT”.
  168. - Ternary Condition.
  169. - For Loop in Python.
  170. - For Loop in Python(Reinforcing the Topic).
  171. - Using Conditional Expressions and For Loop Together.
  172. - Continue Command.
  173. - Break Command.
  174. - List Comprehension.
  175. - While Loop in Python.
  176. - While Loops in Python Reinforcing the Topic.
  177. - Getting know to the Functions.
  178. - How to Write Function.
  179. - Return Expression in Functions.
  180. - Writing Functions with Multiple Argument.
  181. - Writing Docstring in Functions.
  182. - Using Functions and Conditional Expressions Together.
  183. - Arguments and Parameters.
  184. - High Level Operations with Arguments.
  185. - all(), any() Functions.
  186. - map() Function.
  187. - filter() Function.
  188. - zip() Function.
  189. - enumerate() Function.
  190. - max(), min() Functions.
  191. - sum() Function.
  192. - round() Function.
  193. - Lambda Function.
  194. - Local and Global Variables.
  195. - Features of Class.
  196. - Instantiation of Class.
  197. - Attribute of Instantiation.
  198. - Write Function in the Class.
  199. - Inheritance Structure.
  200.  
  201. Requirements
  202. - A working computer (Windows, Mac, or Linux).
  203. - No prior knowledge of Python for beginners is required.
  204. - Motivation to learn the the second largest number of job postings relative program language among all others.
  205. - Desire to learn machine learning python.
  206. - Curiosity for python programming.
  207. - Desire to learn python programming, pycharm, python pycharm.
  208. - Nothing else! It’s just you, your computer and your ambition to get started today.
  209.  
  210. Who this course is for:
  211. - Anyone who wants to start learning Python bootcamp.
  212. - Anyone who plans a career as Python developer.
  213. - Anyone who needs a complete guide on how to start and continue their career with Python in data analysis.
  214. - And also, who want to learn how to develop ptyhon coding.
  215. - People who want to learn python.
  216. - People who want to learn python programming.
  217. - People who want to learn python programming, python examples.
  218.  
  219.  
  220.  
  221. MORE COURSES:
  222. -----------------------------------------
  223. https://rg.to/folder/6531533/WEBSITE.html
  224. ---------------------------------------------
  225. https://rg.to/folder/6432280/PROGRAMMING.html
  226. ------------------------------------------------
  227. https://rg.to/folder/5704524/ENGLISH_COURSE.html
  228. ------------------------------------------------
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