UDEMY Ultimate Python Bootcamp For Data Science and Machine Learning BOOKWARE-iLEARN

iLEARN
source: https://www.udemy.com/course/data-analysis-with-pandas-a-complete-tutorial/
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28M	1. Course Introduction.mp4
32M	10. Theory On Pandas Data Structures.mp4
19M	100. Project_3 Description.mp4
108M	101. Project_3 Solution Part - 1.mp4
122M	102. Project_3 Solution Part - 2.mp4
62M	11. How To Construct The Pandas Series.mp4
72M	12. How To Construct The DataFrame Objects.mp4
76M	13. How To Construct The Pandas Index Objects.mp4
28M	14. Practice Part 01.mp4
166M	15. Practice Part 01 Solution.mp4
38M	16. Theory On Data Indexing And Selection.mp4
31M	17. Data Selection In Series Part 1.mp4
13M	18. Data Selection In Series Part 2.mp4
76M	19. Indexers Loc And Iloc In Series.mp4
8.2M	2. How To Get Most Out Of This Course.mp4
37M	20. Data Selection In DataFrame Part 1.mp4
25M	21. Data Selection In DataFrame Part 2.mp4
67M	22. Accessing Values Using Loc Iloc And Ix In DataFrame Objects.mp4
20M	23. Practice Part 02.mp4
96M	24. Practice Part 02 Solution.mp4
61M	25. Theory On Essential Functionalities.mp4
78M	26. How To Reindex Pandas Objects.mp4
51M	27. How To Drop Entries From An Axis.mp4
45M	28. Arithmetic And Data Alignment.mp4
92M	29. Arithmetic Methods With Fill Values.mp4
17M	3. Better To Know These Things.mp4
40M	30. Broadcasting In Pandas.mp4
52M	31. Apply And Applymap In Pandas.mp4
93M	32. How To Sort And Rank In Pandas.mp4
26M	33. How To Work With The Duplicated Indices.mp4
42M	34. Summarising And Computing Descriptive Statistics.mp4
72M	35. Unique Values Value Counts And Membership.mp4
17M	36. Practice_Part_03.mp4
128M	37. Practice_Part_03 Solution.mp4
30M	38. Theory On Data Handling.mp4
144M	39. How To Read The Csv Files Part - 1.mp4
62M	4. How To Install Python IPython And Jupyter Notebook.mp4
110M	40. How To Read The Csv Files Part - 2.mp4
59M	41. How To Read Text Files In Pieces.mp4
74M	42. How To Export Data In Text Format.mp4
63M	43. How To Use Python's Csv Module.mp4
21M	44. Practice_Part_04.mp4
129M	45. Practice_Part_04 Solution.mp4
76M	46. Theory On Data Preprocessing.mp4
56M	47. How To Handle Missing Values.mp4
55M	48. How To Filter The Missing Values.mp4
59M	49. How To Filter The Missing Values Part 2.mp4
71M	5. How To Install Anaconda For macOS And Linux Users.mp4
71M	50. How To Remove Duplicate Rows And Values.mp4
54M	51. How To Replace The Non Null Values.mp4
41M	52. How To Rename The Axis Labels.mp4
158M	53. How To Descretize And Bin The Data Part - 1.mp4
25M	54. How To Filter And Detect The Outliers.mp4
37M	55. How To Reorder And Select Randomly.mp4
63M	56. Converting The Categorical Variables Into Dummy Variables.mp4
46M	57. How To Use 'map' Method.mp4
76M	58. How To Manipulate With Strings.mp4
130M	59. Using Regular Expressions.mp4
78M	6. How To Work With The Jupyter Notebook Part-1.mp4
53M	60. Working With The Vectorized String Functions.mp4
20M	61. Practice_Part_05.mp4
138M	62. Practice_Part_05 Solution.mp4
55M	63. Theory On Data Wrangling.mp4
46M	64. Hierarchical Indexing.mp4
39M	65. Hierarchical Indexing Reordering And Sorting.mp4
19M	66. Summary Statistics By Level.mp4
30M	67. Hierarchical Indexing With DataFrame Columns.mp4
139M	68. How To Merge The Pandas Objects.mp4
89M	69. Merging On Row Index.mp4
67M	7. How To Work With The Jupyter Notebook Part-2.mp4
126M	70. How To Concatenate Along An Axis.mp4
38M	71. How To Combine With Overlap.mp4
57M	72. How To Reshape And Pivot Data In Pandas.mp4
8.5M	73. Practice_Part_06.mp4
55M	74. Practice_Part_06 Solution.mp4
26M	75. Thoery On Data Groupby And Aggregation.mp4
103M	76. Groupby Operation.mp4
36M	77. How To Iterate Over Groupby Object.mp4
18M	78. How To Select Columns In Groupby Method.mp4
19M	79. Grouping Using Dictionaries And Series.mp4
23M	8. How To Work With The Tabular Data.mp4
38M	80. Grouping Using Functions And Index Level.mp4
75M	81. Data Aggregation.mp4
24M	82. Practice_Part_07.mp4
104M	83. Practice_Part_07 Solution.mp4
46M	84. Theory On Time Series Analysis.mp4
60M	85. Introduction To Time Series Data Types.mp4
95M	86. How To Convert Between String And Datetime.mp4
86M	87. Time Series Basics With Pandas Objects.mp4
89M	88. Date Ranges Frequencies And Shifting.mp4
74M	89. Date Ranges Frequencies And Shifting Part - 2.mp4
94M	9. How To Read The Documentation In Pandas.mp4
61M	90. Time Zone Handling.mp4
67M	91. Periods And Period Arithmetic’s.mp4
21M	92. Practice_Part_08.mp4
107M	93. Practice_Part_08 Solution.mp4
49M	94. A Brief Introduction To The Pandas Projects.mp4
44M	95. Project_1 Description.mp4
160M	96. Project_1 Solution Part - 1.mp4
124M	97. Project_1 Solution Part - 2.mp4
17M	98. Project_2 Description.mp4
178M	99. Project_2 Solution.mp4
6.4G	total