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[] Udemy - Complete Python Data Science, Deep Learning, R Programming

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  • 文件大小:7GB
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  • 最近下载:2024-01-06 17:26:40
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文件列表

  1. 27. Data Transformation in R/3. Filtering Rows with Filter Function in R programming.mp4 170MB
  2. 18. Projects Python projects, Data science projects, machine learning/2. Project - 2.mp4 169MB
  3. 11. Geoplotlib/3.1 world_cities_pop.csv 157MB
  4. 12. Data Science Hands-On Projects/6. Answer for Housing and Property Sales Project.mp4 155MB
  5. 12. Data Science Hands-On Projects/8. Answers for English Premier League Project.mp4 154MB
  6. 13. Machine Learning/15. Choosing the right algorithm and model in deep learning.mp4 149MB
  7. 27. Data Transformation in R/6. Grouped Summaries with Summarize Function in R.mp4 149MB
  8. 12. Data Science Hands-On Projects/4. Bike Sharing Project Answers.mp4 147MB
  9. 25. Data Frames/3. Manipulating Values in DF.mp4 145MB
  10. 20. Data Management in R/3. Graphs and Charts in Python data science.mp4 140MB
  11. 26. Factors in R/2. Manipulating Categorical Data with Forcats in R.mp4 133MB
  12. 27. Data Transformation in R/4. Arranging Rows with Arrange Function in R.mp4 129MB
  13. 9. Matplotlib/8. Basic Plots in Matplotlib I.mp4 104MB
  14. 8. Data Frame with Pandas/9. Combining Data Frames in Pandas.mp4 104MB
  15. 18. Projects Python projects, Data science projects, machine learning/1. Project - 1.mp4 102MB
  16. 10. Seaborn/5. Basic Plots in Seaborn.mp4 93MB
  17. 12. Data Science Hands-On Projects/2. Titanic Project Answers in python projects.mp4 89MB
  18. 13. Machine Learning/12. Unsupervised Machine Learning Methods.mp4 88MB
  19. 17. Transfer Learning/1. What is Transfer Learning.mp4 85MB
  20. 8. Data Frame with Pandas/10. Combining Data Frames Part – II.mp4 84MB
  21. 13. Machine Learning/16. Training and testing the model.mp4 84MB
  22. 25. Data Frames/5. Tibbles in R.mp4 84MB
  23. 18. Projects Python projects, Data science projects, machine learning/3. Project - 3.mp4 82MB
  24. 8. Data Frame with Pandas/1. Data Frame Attributes and Methods.mp4 80MB
  25. 14. Artificial Neural Network/3. Creating a Simple ANN in Artificial intelligence.mp4 80MB
  26. 8. Data Frame with Pandas/6. Missing Data and Data Munging in Pandas.mp4 79MB
  27. 11. Geoplotlib/3. Example - 2.mp4 76MB
  28. 27. Data Transformation in R/1. Introduction to Data Transformation.mp4 76MB
  29. 7. Pandas Using Pandas for Data Manipulation/2. Series and Features.mp4 74MB
  30. 6. Using Numpy for Data Manipulation/5. Numpy Exercises.mp4 74MB
  31. 15. Convolutional Neural Network (CNN)/1. What is CNN.mp4 72MB
  32. 18. Projects Python projects, Data science projects, machine learning/4. Project - 4.mp4 72MB
  33. 25. Data Frames/1. Introduction to Data Frames.mp4 71MB
  34. 8. Data Frame with Pandas/11. Work with Dataset Files in Pandas.mp4 71MB
  35. 13. Machine Learning/11. Supervised Machine Learning Methods - 4.mp4 70MB
  36. 8. Data Frame with Pandas/8. How We Deal with Missing Data.mp4 69MB
  37. 23. Arrays in R/2. Subsections of an Array in r programming.mp4 68MB
  38. 3. Fundamentals of Python/5. Lists, Tuples, Dictionaries and Sets in Python.mp4 66MB
  39. 9. Matplotlib/4. Figure, Subplot and Axes in Matplotlib.mp4 66MB
  40. 27. Data Transformation in R/5. Adding New Variables with Mutate Function in R.mp4 63MB
  41. 14. Artificial Neural Network/8. What is TensorFlow.mp4 63MB
  42. 14. Artificial Neural Network/4. Tensor Operations in Artificial intelligence.mp4 62MB
  43. 27. Data Transformation in R/2. Select Columns with Select Function in R programming.mp4 61MB
  44. 24. Matrices in R programming/3. Calculating With Matrices in Python Data science.mp4 59MB
  45. 9. Matplotlib/5. Figure Customization in Matplotlib.mp4 59MB
  46. 4. Object Oriented Programming/5. Overriding and Overloading in OOP.mp4 59MB
  47. 8. Data Frame with Pandas/2. Data Frame Attributes and Methods Part – II.mp4 57MB
  48. 10. Seaborn/7. Regression Plots and Squarify in Seaborn.mp4 57MB
  49. 13. Machine Learning/10. Supervised Machine Learning Methods - 3.mp4 56MB
  50. 13. Machine Learning/9. Supervised Machine Learning Methods - 2.mp4 55MB
  51. 20. Data Management in R/2. Data Manipulation in R.mp4 55MB
  52. 2. Setting Up Python for Mac and Windows Python Data Science/2. Installing Anaconda for Mac, Python Data Science.mp4 53MB
  53. 8. Data Frame with Pandas/5. Groupby Operations in Pandas.mp4 53MB
  54. 9. Matplotlib/9. Basic Plots in Matplotlib II.mp4 52MB
  55. 10. Seaborn/3. Example in Seaborn.mp4 51MB
  56. 16. Recurrent Neural Network and LTSM/1. Understanding RNN and LSTM Networks.mp4 51MB
  57. 8. Data Frame with Pandas/4. Multi Index in Pandas.mp4 51MB
  58. 24. Matrices in R programming/1. Matrices in R programming.mp4 50MB
  59. 3. Fundamentals of Python/4. Loops in Python.mp4 49MB
  60. 24. Matrices in R programming/2. Naming Matrix Row and Columns in R programming.mp4 48MB
  61. 8. Data Frame with Pandas/3. Data Frame Attributes and Methods Part – III.mp4 48MB
  62. 6. Using Numpy for Data Manipulation/2. Array and Features in Numpy Python.mp4 48MB
  63. 11. Geoplotlib/4. Example - 3.mp4 48MB
  64. 3. Fundamentals of Python/10. Exercise Solution in Python.mp4 48MB
  65. 21. Examining and Managing Data Structures in R/7. Subsetting Vectors in R.mp4 46MB
  66. 13. Machine Learning/7. Machine Learning Methods.mp4 46MB
  67. 10. Seaborn/4. Color Palettes in Seaborn.mp4 45MB
  68. 22. Lists in R/1. Lists in R.mp4 43MB
  69. 14. Artificial Neural Network/7. Optimizers in Artificial intelligence.mp4 42MB
  70. 14. Artificial Neural Network/2. Anatomy of Neural Network in Artificial intelligence.mp4 42MB
  71. 21. Examining and Managing Data Structures in R/1. Vector Basics in R.mp4 42MB
  72. 25. Data Frames/4. Adding and Removing Variables in R Programming.mp4 41MB
  73. 3. Fundamentals of Python/1. Data Types in Python.mp4 41MB
  74. 10. Seaborn/6. Multi-Plots in Seaborn.mp4 41MB
  75. 13. Machine Learning/3. Turing Machine and Turing Test.mp4 41MB
  76. 8. Data Frame with Pandas/7. Missing Data and Data Munging Part II.mp4 41MB
  77. 3. Fundamentals of Python/6. Data Type Operators and Methods in Python.mp4 40MB
  78. 6. Using Numpy for Data Manipulation/4. Indexing and Slicing in Numpy Python.mp4 40MB
  79. 2. Setting Up Python for Mac and Windows Python Data Science/1. Installing Anaconda for Windows.mp4 40MB
  80. 10. Seaborn/2. Controlling Figure Aesthetics in Seaborn.mp4 39MB
  81. 20. Data Management in R/1. Getting Data into R.mp4 37MB
  82. 11. Geoplotlib/2. Example - 1.mp4 36MB
  83. 13. Machine Learning/5. Learning representations from data.mp4 35MB
  84. 3. Fundamentals of Python/3. Conditionals in Python.mp4 35MB
  85. 26. Factors in R/1. Introduction to Factors in R.mp4 35MB
  86. 21. Examining and Managing Data Structures in R/5. Vector Recycling and Iterations in R.mp4 35MB
  87. 21. Examining and Managing Data Structures in R/6. Naming Vectors in R.mp4 34MB
  88. 4. Object Oriented Programming/2. Constructor in Object Oriented Programming.mp4 34MB
  89. 4. Object Oriented Programming/4. Inheritance in Object Oriented Programming.mp4 33MB
  90. 11. Geoplotlib/1. What is Geoplotlib.mp4 32MB
  91. 21. Examining and Managing Data Structures in R/3. Converting Data Types of Atomic Vectors in R.mp4 32MB
  92. 13. Machine Learning/6. Workflow of Machine Learning.mp4 32MB
  93. 13. Machine Learning/8. Supervised Machine Learning Methods - 1.mp4 31MB
  94. 14. Artificial Neural Network/5. Tensor Operations 2.mp4 30MB
  95. 3. Fundamentals of Python/2. Operators in Python.mp4 30MB
  96. 23. Arrays in R/1. Arrays in r programming.mp4 28MB
  97. 25. Data Frames/2. Naming Variables and Observations in DF.mp4 28MB
  98. 6. Using Numpy for Data Manipulation/1. What is Numpy.mp4 27MB
  99. 9. Matplotlib/3. Pyplot – Pylab - Matplotlib.mp4 27MB
  100. 9. Matplotlib/2. Using Matplotlib.mp4 27MB
  101. 3. Fundamentals of Python/8. Functions in Python.mp4 26MB
  102. 13. Machine Learning/14. Data pre-processing in Deep learning.mp4 26MB
  103. 9. Matplotlib/6. Plot Customization in matplotlib.mp4 26MB
  104. 2. Setting Up Python for Mac and Windows Python Data Science/3. Let's Meet Jupyter Notebook for Windows.mp4 25MB
  105. 19. Environment Installation for R/1. Downloading and Installing R & R Studio.mp4 25MB
  106. 13. Machine Learning/17. Evaluation in deep learning.mp4 24MB
  107. 21. Examining and Managing Data Structures in R/2. Atomic Vector Types in R.mp4 24MB
  108. 13. Machine Learning/2. History of Machine Learning.mp4 24MB
  109. 4. Object Oriented Programming/3. Methods in Object Oriented Programming.mp4 24MB
  110. 14. Artificial Neural Network/6. Keras API in Artificial intelligence.mp4 23MB
  111. 14. Artificial Neural Network/1. What is Artificial Neural Network (ANN).mp4 23MB
  112. 9. Matplotlib/7. Grid, Spines, Ticks in python.mp4 22MB
  113. 19. Environment Installation for R/2. R Console Versus R Studio.mp4 22MB
  114. 3. Fundamentals of Python/7. Modules in Python.mp4 21MB
  115. 13. Machine Learning/4. What is Deep Learning.mp4 21MB
  116. 5. Python For Data Science Data Science/1. What Is Data Science.mp4 20MB
  117. 7. Pandas Using Pandas for Data Manipulation/1. What is Pandas.mp4 20MB
  118. 9. Matplotlib/1. What is Matplotlib.mp4 18MB
  119. 13. Machine Learning/13. Gathering data in Deep learning.mp4 18MB
  120. 6. Using Numpy for Data Manipulation/3. Array Operators in Numpy.mp4 18MB
  121. 4. Object Oriented Programming/1. Logic of Object Oriented Programming.mp4 16MB
  122. 13. Machine Learning/1. AI, Machine Learning and Deep Learning.mp4 16MB
  123. 2. Setting Up Python for Mac and Windows Python Data Science/4. Basics of Jupyter Notebook for Mac.mp4 15MB
  124. 1. Introduction to Complete Data Science, Deep Learning, R Data Science 2021/1. Be Smart and Use Data But How Answer is Data Science with Python.mp4 14MB
  125. 12. Data Science Hands-On Projects/3. Project II Bike Sharing.mp4 14MB
  126. 12. Data Science Hands-On Projects/7. Project IV English Premier League.mp4 13MB
  127. 21. Examining and Managing Data Structures in R/4. Test Functions in R.mp4 13MB
  128. 10. Seaborn/1. What is Seaborn.mp4 13MB
  129. 12. Data Science Hands-On Projects/5. Project III Housing and Property Sales.mp4 10MB
  130. 12. Data Science Hands-On Projects/1. Analyse Data With Different Data Sets Titanic Project.mp4 10MB
  131. 5. Python For Data Science Data Science/2. Data Literacy.mp4 10MB
  132. 3. Fundamentals of Python/9. Exercise Analyse in Python.mp4 6MB
  133. 10. Seaborn/5.3 salary.csv 3MB
  134. 12. Data Science Hands-On Projects/5.1 House Sales.csv 1MB
  135. 10. Seaborn/7.1 age_data.csv 661KB
  136. 9. Matplotlib/8.1 age_data.csv 661KB
  137. 12. Data Science Hands-On Projects/3.1 Bike_Share_London.csv 368KB
  138. 9. Matplotlib/9.1 winequality.csv 82KB
  139. 12. Data Science Hands-On Projects/1.2 Titanic.csv 57KB
  140. 12. Data Science Hands-On Projects/7.1 2006-2018 EPL stats.csv 54KB
  141. 9. Matplotlib/8. Basic Plots in Matplotlib I.srt 30KB
  142. 12. Data Science Hands-On Projects/4. Bike Sharing Project Answers.srt 30KB
  143. 12. Data Science Hands-On Projects/6. Answer for Housing and Property Sales Project.srt 28KB
  144. 12. Data Science Hands-On Projects/8. Answers for English Premier League Project.srt 28KB
  145. 13. Machine Learning/12. Unsupervised Machine Learning Methods.srt 27KB
  146. 11. Geoplotlib/2.1 poaching_points_cleaned.csv 24KB
  147. 10. Seaborn/5. Basic Plots in Seaborn.srt 22KB
  148. 8. Data Frame with Pandas/6. Missing Data and Data Munging in Pandas.srt 22KB
  149. 12. Data Science Hands-On Projects/2. Titanic Project Answers in python projects.srt 21KB
  150. 18. Projects Python projects, Data science projects, machine learning/2. Project - 2.srt 21KB
  151. 14. Artificial Neural Network/8. What is TensorFlow.srt 20KB
  152. 18. Projects Python projects, Data science projects, machine learning/1. Project - 1.srt 20KB
  153. 1. Introduction to Complete Data Science, Deep Learning, R Data Science 2021/3. FAQ about Complete data science with R, deep learning, machine learning.html 20KB
  154. 20. Data Management in R/3. Graphs and Charts in Python data science.srt 19KB
  155. 13. Machine Learning/11. Supervised Machine Learning Methods - 4.srt 19KB
  156. 7. Pandas Using Pandas for Data Manipulation/2. Series and Features.srt 19KB
  157. 17. Transfer Learning/1. What is Transfer Learning.srt 19KB
  158. 11. Geoplotlib/3. Example - 2.srt 19KB
  159. 27. Data Transformation in R/6. Grouped Summaries with Summarize Function in R.srt 18KB
  160. 3. Fundamentals of Python/5. Lists, Tuples, Dictionaries and Sets in Python.srt 17KB
  161. 9. Matplotlib/4. Figure, Subplot and Axes in Matplotlib.srt 17KB
  162. 15. Convolutional Neural Network (CNN)/1. What is CNN.srt 17KB
  163. 8. Data Frame with Pandas/10. Combining Data Frames Part – II.srt 17KB
  164. 8. Data Frame with Pandas/9. Combining Data Frames in Pandas.srt 17KB
  165. 13. Machine Learning/7. Machine Learning Methods.srt 16KB
  166. 13. Machine Learning/10. Supervised Machine Learning Methods - 3.srt 16KB
  167. 9. Matplotlib/9. Basic Plots in Matplotlib II.srt 16KB
  168. 10. Seaborn/7. Regression Plots and Squarify in Seaborn.srt 16KB
  169. 8. Data Frame with Pandas/8. How We Deal with Missing Data.srt 15KB
  170. 8. Data Frame with Pandas/1. Data Frame Attributes and Methods.srt 15KB
  171. 13. Machine Learning/9. Supervised Machine Learning Methods - 2.srt 15KB
  172. 27. Data Transformation in R/3. Filtering Rows with Filter Function in R programming.srt 15KB
  173. 18. Projects Python projects, Data science projects, machine learning/3. Project - 3.srt 15KB
  174. 6. Using Numpy for Data Manipulation/5. Numpy Exercises.srt 15KB
  175. 16. Recurrent Neural Network and LTSM/1. Understanding RNN and LSTM Networks.srt 15KB
  176. 18. Projects Python projects, Data science projects, machine learning/4. Project - 4.srt 15KB
  177. 10. Seaborn/4. Color Palettes in Seaborn.srt 15KB
  178. 14. Artificial Neural Network/3. Creating a Simple ANN in Artificial intelligence.srt 14KB
  179. 9. Matplotlib/5. Figure Customization in Matplotlib.srt 14KB
  180. 25. Data Frames/3. Manipulating Values in DF.srt 14KB
  181. 3. Fundamentals of Python/1. Data Types in Python.srt 14KB
  182. 13. Machine Learning/5. Learning representations from data.srt 13KB
  183. 13. Machine Learning/3. Turing Machine and Turing Test.srt 13KB
  184. 8. Data Frame with Pandas/5. Groupby Operations in Pandas.srt 12KB
  185. 27. Data Transformation in R/4. Arranging Rows with Arrange Function in R.srt 12KB
  186. 14. Artificial Neural Network/7. Optimizers in Artificial intelligence.srt 12KB
  187. 26. Factors in R/2. Manipulating Categorical Data with Forcats in R.srt 12KB
  188. 3. Fundamentals of Python/4. Loops in Python.srt 12KB
  189. 8. Data Frame with Pandas/4. Multi Index in Pandas.srt 12KB
  190. 8. Data Frame with Pandas/11. Work with Dataset Files in Pandas.srt 12KB
  191. 6. Using Numpy for Data Manipulation/2. Array and Features in Numpy Python.srt 11KB
  192. 11. Geoplotlib/4. Example - 3.srt 11KB
  193. 9. Matplotlib/8.2 scatter_ex.xlsx 11KB
  194. 8. Data Frame with Pandas/2. Data Frame Attributes and Methods Part – II.srt 11KB
  195. 14. Artificial Neural Network/4. Tensor Operations in Artificial intelligence.srt 11KB
  196. 10. Seaborn/2. Controlling Figure Aesthetics in Seaborn.srt 11KB
  197. 13. Machine Learning/6. Workflow of Machine Learning.srt 11KB
  198. 8. Data Frame with Pandas/7. Missing Data and Data Munging Part II.srt 11KB
  199. 10. Seaborn/6. Multi-Plots in Seaborn.srt 11KB
  200. 3. Fundamentals of Python/2. Operators in Python.srt 11KB
  201. 13. Machine Learning/8. Supervised Machine Learning Methods - 1.srt 10KB
  202. 14. Artificial Neural Network/2. Anatomy of Neural Network in Artificial intelligence.srt 10KB
  203. 11. Geoplotlib/1. What is Geoplotlib.srt 10KB
  204. 3. Fundamentals of Python/3. Conditionals in Python.srt 10KB
  205. 10. Seaborn/3. Example in Seaborn.srt 10KB
  206. 11. Geoplotlib/2. Example - 1.srt 10KB
  207. 8. Data Frame with Pandas/3. Data Frame Attributes and Methods Part – III.srt 9KB
  208. 4. Object Oriented Programming/5. Overriding and Overloading in OOP.srt 9KB
  209. 20. Data Management in R/2. Data Manipulation in R.srt 9KB
  210. 3. Fundamentals of Python/6. Data Type Operators and Methods in Python.srt 9KB
  211. 13. Machine Learning/15. Choosing the right algorithm and model in deep learning.srt 9KB
  212. 3. Fundamentals of Python/8. Functions in Python.srt 9KB
  213. 25. Data Frames/5. Tibbles in R.srt 9KB
  214. 6. Using Numpy for Data Manipulation/4. Indexing and Slicing in Numpy Python.srt 9KB
  215. 27. Data Transformation in R/1. Introduction to Data Transformation.srt 8KB
  216. 23. Arrays in R/2. Subsections of an Array in r programming.srt 8KB
  217. 9. Matplotlib/7. Grid, Spines, Ticks in python.srt 8KB
  218. 14. Artificial Neural Network/1. What is Artificial Neural Network (ANN).srt 8KB
  219. 14. Artificial Neural Network/6. Keras API in Artificial intelligence.srt 8KB
  220. 14. Artificial Neural Network/5. Tensor Operations 2.srt 8KB
  221. 13. Machine Learning/2. History of Machine Learning.srt 8KB
  222. 9. Matplotlib/2. Using Matplotlib.srt 7KB
  223. 13. Machine Learning/17. Evaluation in deep learning.srt 7KB
  224. 6. Using Numpy for Data Manipulation/1. What is Numpy.srt 7KB
  225. 9. Matplotlib/3. Pyplot – Pylab - Matplotlib.srt 7KB
  226. 20. Data Management in R/1. Getting Data into R.srt 7KB
  227. 13. Machine Learning/4. What is Deep Learning.srt 7KB
  228. 27. Data Transformation in R/2. Select Columns with Select Function in R programming.srt 7KB
  229. 4. Object Oriented Programming/2. Constructor in Object Oriented Programming.srt 7KB
  230. 27. Data Transformation in R/5. Adding New Variables with Mutate Function in R.srt 7KB
  231. 25. Data Frames/1. Introduction to Data Frames.srt 7KB
  232. 4. Object Oriented Programming/4. Inheritance in Object Oriented Programming.srt 7KB
  233. 24. Matrices in R programming/1. Matrices in R programming.srt 7KB
  234. 9. Matplotlib/6. Plot Customization in matplotlib.srt 7KB
  235. 5. Python For Data Science Data Science/1. What Is Data Science.srt 7KB
  236. 7. Pandas Using Pandas for Data Manipulation/1. What is Pandas.srt 6KB
  237. 3. Fundamentals of Python/10. Exercise Solution in Python.srt 6KB
  238. 13. Machine Learning/14. Data pre-processing in Deep learning.srt 6KB
  239. 13. Machine Learning/16. Training and testing the model.srt 6KB
  240. 2. Setting Up Python for Mac and Windows Python Data Science/2. Installing Anaconda for Mac, Python Data Science.srt 6KB
  241. 24. Matrices in R programming/3. Calculating With Matrices in Python Data science.srt 6KB
  242. 2. Setting Up Python for Mac and Windows Python Data Science/1. Installing Anaconda for Windows.srt 6KB
  243. 22. Lists in R/1. Lists in R.srt 6KB
  244. 2. Setting Up Python for Mac and Windows Python Data Science/3. Let's Meet Jupyter Notebook for Windows.srt 6KB
  245. 13. Machine Learning/13. Gathering data in Deep learning.srt 6KB
  246. 21. Examining and Managing Data Structures in R/7. Subsetting Vectors in R.srt 6KB
  247. 1. Introduction to Complete Data Science, Deep Learning, R Data Science 2021/1. Be Smart and Use Data But How Answer is Data Science with Python.srt 6KB
  248. 13. Machine Learning/1. AI, Machine Learning and Deep Learning.srt 5KB
  249. 21. Examining and Managing Data Structures in R/1. Vector Basics in R.srt 5KB
  250. 3. Fundamentals of Python/7. Modules in Python.srt 5KB
  251. 24. Matrices in R programming/2. Naming Matrix Row and Columns in R programming.srt 5KB
  252. 19. Environment Installation for R/2. R Console Versus R Studio.srt 5KB
  253. 4. Object Oriented Programming/1. Logic of Object Oriented Programming.srt 5KB
  254. 10. Seaborn/1. What is Seaborn.srt 5KB
  255. 12. Data Science Hands-On Projects/3. Project II Bike Sharing.srt 5KB
  256. 12. Data Science Hands-On Projects/7. Project IV English Premier League.srt 5KB
  257. 26. Factors in R/1. Introduction to Factors in R.srt 5KB
  258. 21. Examining and Managing Data Structures in R/5. Vector Recycling and Iterations in R.srt 5KB
  259. 23. Arrays in R/1. Arrays in r programming.srt 5KB
  260. 19. Environment Installation for R/1. Downloading and Installing R & R Studio.srt 4KB
  261. 12. Data Science Hands-On Projects/1. Analyse Data With Different Data Sets Titanic Project.srt 4KB
  262. 21. Examining and Managing Data Structures in R/6. Naming Vectors in R.srt 4KB
  263. 6. Using Numpy for Data Manipulation/3. Array Operators in Numpy.srt 4KB
  264. 4. Object Oriented Programming/3. Methods in Object Oriented Programming.srt 4KB
  265. 25. Data Frames/4. Adding and Removing Variables in R Programming.srt 4KB
  266. 12. Data Science Hands-On Projects/5. Project III Housing and Property Sales.srt 4KB
  267. 9. Matplotlib/1. What is Matplotlib.srt 4KB
  268. 21. Examining and Managing Data Structures in R/3. Converting Data Types of Atomic Vectors in R.srt 3KB
  269. 21. Examining and Managing Data Structures in R/2. Atomic Vector Types in R.srt 3KB
  270. 5. Python For Data Science Data Science/2. Data Literacy.srt 3KB
  271. 2. Setting Up Python for Mac and Windows Python Data Science/4. Basics of Jupyter Notebook for Mac.srt 3KB
  272. 10. Seaborn/4.1 flight_details.csv 2KB
  273. 3. Fundamentals of Python/9. Exercise Analyse in Python.srt 2KB
  274. 25. Data Frames/2. Naming Variables and Observations in DF.srt 2KB
  275. 10. Seaborn/3.1 scores.csv 1KB
  276. 10. Seaborn/5.4 scores.csv 1KB
  277. 21. Examining and Managing Data Structures in R/4. Test Functions in R.srt 1KB
  278. 12. Data Science Hands-On Projects/7.2 Project - IV - Questions.txt 1KB
  279. 12. Data Science Hands-On Projects/3.2 Project - II - Questions.txt 906B
  280. 12. Data Science Hands-On Projects/1.1 Project - I - Questions.txt 823B
  281. 12. Data Science Hands-On Projects/5.2 Project - III - Questions.txt 737B
  282. 10. Seaborn/5.5 youtube.csv 714B
  283. 1. Introduction to Complete Data Science, Deep Learning, R Data Science 2021/2. Project Files and Course Documents Data Science, Python data science.html 457B
  284. 28. Extra/1. Complete Python Data Science, Deep Learning, R Programming.html 266B
  285. 10. Seaborn/8. Quiz.html 166B
  286. 11. Geoplotlib/5. Quiz.html 166B
  287. 13. Machine Learning/18. Quiz Python, Data Science, Machine learning, Deep learning.html 166B
  288. 13. Machine Learning/19. Quiz.html 166B
  289. 14. Artificial Neural Network/9. Quiz.html 166B
  290. 15. Convolutional Neural Network (CNN)/2. Quiz.html 166B
  291. 16. Recurrent Neural Network and LTSM/2. Quiz.html 166B
  292. 17. Transfer Learning/2. Quiz Machine Learnig, Deep Learning.html 166B
  293. 20. Data Management in R/4. quiz.html 166B
  294. 3. Fundamentals of Python/11. Quiz.html 166B
  295. 4. Object Oriented Programming/6. Quiz Python data science, R programming.html 166B
  296. 5. Python For Data Science Data Science/3. Quiz Data Science, Python Data Science.html 166B
  297. 6. Using Numpy for Data Manipulation/6. Quiz.html 166B
  298. 8. Data Frame with Pandas/12. Quiz.html 166B
  299. 9. Matplotlib/10. Quiz.html 166B
  300. 10. Seaborn/5.2 movie_scores.csv 165B
  301. 10. Seaborn/5.1 basic_details.csv 145B
  302. 0. Websites you may like/[FreeCourseSite.com].url 127B
  303. 10. Seaborn/0. Websites you may like/[FreeCourseSite.com].url 127B
  304. 16. Recurrent Neural Network and LTSM/0. Websites you may like/[FreeCourseSite.com].url 127B
  305. 18. Projects Python projects, Data science projects, machine learning/0. Websites you may like/[FreeCourseSite.com].url 127B
  306. 3. Fundamentals of Python/0. Websites you may like/[FreeCourseSite.com].url 127B
  307. 0. Websites you may like/[CourseClub.Me].url 122B
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  310. 18. Projects Python projects, Data science projects, machine learning/0. Websites you may like/[CourseClub.Me].url 122B
  311. 3. Fundamentals of Python/0. Websites you may like/[CourseClub.Me].url 122B
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  316. 18. Projects Python projects, Data science projects, machine learning/0. Websites you may like/[GigaCourse.Com].url 49B
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