Python for Data Science and Machine Learning 2024 CourseWikia

Other · 3.1 GB · 2 S / 0 L
This torrent contains potentially dangerous file(s). Please download with caution.
Torrent
Magnet download .torrent file
Report torrent

Please select a reason for reporting this torrent:

Your report will be reviewed by our moderation team.
Login required

You need to be logged in to report torrents.

Login
Report information

Loading report information…
Info hash: A9D21C30345795FF7D99F04ED9BEED0526DB4A90
Similar torrents
NameUploadedSizeSLBy
Python Data Structures Algorithms 93 CODING EXERCISES 2023-07-02 1.1 GB 23 3 tutsnode
Python Data Science Handbook Essential Tools for Working with Data 2nd Editio s… 2024-09-11 19.7 MB 19 3 indexFroggy
Python Data Science A Step By Step Guide to Data Analysis What a Beginner Nee s… 2024-08-24 899.0 KB 7 1 indexFroggy
Python Data Cleaning Cookbook Modern techniques and Python tools to detect and … 2023-07-01 3.2 MB 4 0 spy1984
Python Data Structures Sets and Frozen Sets 2024 DevCourseWeb 2024-12-02 281.0 MB 4 0 FreeCourseWeb
Python Data Cleaning Cookbook Techniques Tools To Detect Dirty Data 2023-07-01 7.4 MB 3 0 nico1899
Python Data Cleaning Cookbook by Michael Walker EPUB 2024-08-02 8.0 MB 3 1 zakareya
Python Data Cleaning Cookbook Modern Techniques And Python Tools To Detect And … 2023-07-01 3.8 MB 2 1 nico1899
Python Data Products for Predictive Analytics Specialization 2023-07-19 2.7 GB 2 0 tutsnode
Python Data Visualization Essentials Guide BookRAR 2023-07-01 8.7 MB 1 0 bookrar
More like this
More Other
NameUploadedSizeSLBy
Udemy - Advanced Claude Code and AI Agent Workflows 2026-06-13 102 bytes 51 8 anonymous
BABYMETAL - Concert Collection (2012-2025) 2026-08-16 157.3 GB 1 6 Anonymous
24 Assorted Books Collection Pack-102 2026-11-08 600.2 MB 10 40 The Pirate Bay
CC Certified in Cybersecurity Study Guide 2026 2026-11-07 4.9 MB 29 47 The Pirate Bay
Reaper by Nicholas Irving Anthony J Tata ePUB MojoBB 2023-10-27 647.7 KB 0 0 MojoBB
Breaking The Cycle How To Stop Wasting Your Time 2024-11-18 1.3 MB 0 1 freecoursewb
MajorHotWife 26 10 30 Valerie Rose Blonde Hotwife Gangbang XXX 1080p MP4 GAPFiL… 2026-11-07 2.1 GB 30 37 XXXClub
Pinnacle Studio Ultimate 23 1 1 242 x64 Ml 2025-03-09 4.4 GB 0 0 CorsaroNero
See all Other
Uploader
FreeCourseWeb
Source
T Torrent Galaxy
Downloads
2105
Language
English
Category
Other
Size
3.1 GB
Added
2024-09-11 17:44 (2 years, 1 month ago)
Peers
2 seeders, 0 leechers (checked 1 week ago)
Trackers
TrackerSeedersLeechersCompleted
udp://open.stealth.si:80/announce10666
udp://exodus.desync.com:6969/announce6335
udp://tracker.cyberia.is:6969/announce20266
udp://tracker.opentrackr.org:1337/announce115657
udp://tracker.torrent.eu.org:451/announce30454
udp://explodie.org:6969/announce000
udp://tracker.birkenwald.de:6969/announce010
udp://tracker.moeking.me:6969/announce (Failed to scrape UDP tracker)000
udp://ipv4.tracker.harry.lu:80/announce (Failed to scrape UDP tracker)000
udp://tracker.tiny-vps.com:6969/announce5327
udp://tracker.rarbg.unblockninja.st:6969/announce000
Files
  1. Get Bonus Downloads Here.url181 bytes
  2. 1 - Setting up the Environment.mp491.5 MB
  3. 2 - Introduction to Python Tools.mp4153.5 MB
  4. 10 - Strings 1.mp428.9 MB
  5. 11 - Strings 2.mp428.8 MB
  6. 12 - 7-Dictionaries-Sets.ipynb9.0 KB
  7. 12 - Dictionaries.mp425.3 MB
  8. 13 - Sets.mp4107.3 MB
  9. 3 - 1.Arithmetic.ipynb8.6 KB
  10. 3 - Arithmetic Operations in Python.mp433.3 MB
  11. 4 - 2.Data-Types.ipynb6.4 KB
  12. 4 - Data Types.mp431.2 MB
  13. 5 - 4.Variables.ipynb3.1 KB
  14. 5 - Variables.mp430.7 MB
  15. 6 - 5.Lists.ipynb11.2 KB
  16. 6 - Intro to Lists.mp422.6 MB
  17. 7 - Lists 2.mp440.8 MB
  18. 8 - Lists 3.mp439.8 MB
  19. 9 - 6.Tuples-and-strings.ipynb8.6 KB
  20. 9 - Tuples.mp430.9 MB
  21. 14 - 1.Pandas-Intro.ipynb1.5 KB
  22. 14 - Introduction to Pandas.mp4135.0 MB
  23. 15 - 2.Pandas-Series-Part-1.ipynb5.2 KB
  24. 15 - Pandas Series Part 1.mp419.6 MB
  25. 16 - 3.Pandas-Series-Part-2.ipynb3.6 KB
  26. 16 - Pandas Series Part 2.mp428.4 MB
  27. 17 - 4.Pandas-Series-Unique.ipynb3.6 KB
  28. 17 - Pandas Series Unique.mp424.2 MB
  29. 18 - 5.Sorting-a-Series.ipynb6.3 KB
  30. 18 - Pandas Series Sorting.mp419.7 MB
  31. 19 - 6.Dataframes-Intro.ipynb4.5 KB
  32. 19 - Introduction to DataFrames.mp419.7 MB
  33. 20 - 7-Data-from-csv-file.ipynb2.4 KB
  34. 20 - Accessing csv files.mp473.0 MB
  35. 20 - titanic.csv58.9 KB
  36. 21 - 8.Data-Inspection.ipynb3.7 KB
  37. 21 - Data Inspection.mp454.8 MB
  38. 22 - 9.Dataframes-Index.ipynb3.3 KB
  39. 22 - Dataframe Indexing 1.mp438.4 MB
  40. 23 - 11.Indexing-in-Dataframes.ipynb2.6 KB
  41. 23 - Dataframe Indexing 2.mp417.6 MB
  42. 24 - 10.Dataframe-Filter.ipynb2.9 KB
  43. 24 - Dataframe Filter.mp425.4 MB
  44. 25 - 12.Position-based-Index-iloc.ipynb4.0 KB
  45. 25 - IPL.csv37.3 KB
  46. 25 - Position based indexing using iloc.mp484.8 MB
  47. 26 - 13.Index-based-Slicing-iloc.ipynb3.4 KB
  48. 26 - Dataframe Slicing using iloc.mp422.9 MB
  49. 26 - IPL.csv37.3 KB
  50. 27 - 14.Label-based-Slicing-using-loc.ipynb92.9 KB
  51. 27 - IPL.csv37.3 KB
  52. 27 - Label based Slicing using loc.mp439.9 MB
  53. 28 - 15.loc-with-numeric-index.ipynb2.5 KB
  54. 28 - Loc with numeric index.mp414.4 MB
  55. 29 - 16.Reset-index.ipynb3.3 KB
  56. 29 - IPL.csv37.3 KB
  57. 29 - Reset Index.mp435.5 MB
  58. 30 - 17.Rename-columns.ipynb5.4 KB
  59. 30 - Rename Columns.mp416.8 MB
  60. 30 - data.csv16 bytes
  61. 31 - 18.Conditional-Filter.ipynb3.8 KB
  62. 31 - Conditional Filter.mp441.1 MB
  63. 31 - titanic.csv58.9 KB
  64. 32 - 19.Advanced-Filter-Dataframe.ipynb2.6 KB
  65. 32 - Advanced Filter.mp418.4 MB
  66. 32 - titanic.csv58.9 KB
  67. 33 - 20.Handling-Missing-Values-Part-1.ipynb2.1 KB
  68. 33 - Missing Values Part 1.mp410.2 MB
  69. 33 - missing.csv54 bytes
  70. 34 - 21.Handling-Missing-Values-Part-2.ipynb4.9 KB
  71. 34 - Missing Values Part 2.mp454.1 MB
  72. 34 - titanic.csv58.9 KB
  73. 35 - 22.Groupby.ipynb5.8 KB
  74. 35 - Group by.mp432.7 MB
  75. 36 - 23.Introduction-to-Time-Series-Data.ipynb1.3 KB
  76. 36 - Intro to Time Series.mp423.0 MB
  77. 36 - minute.csv16.9 KB
  78. 37 - 27-Downloading-Data-yfinance-API.ipynb2.8 KB
  79. 37 - Downloading Data yfinance API.mp462.3 MB
  80. 38 - 24.Convert-string-to-datetime-column.ipynb4.4 KB
  81. 38 - String to Datetime.mp436.5 MB
  82. 38 - minute.csv16.9 KB
  83. 39 - 10.Accessing-Data.ipynb25.9 KB
  84. 39 - Reading Files.mp488.0 MB
  85. 39 - minute.csv16.9 KB
  86. 40 - 11-Accessing-MySQL-Database.ipynb5.1 KB
  87. 40 - Working with My Sql Database.mp457.0 MB
  88. 41 - 25.Slice-Time-Series-Data.ipynb2.4 KB
  89. 41 - Slice Time Series Data.mp412.1 MB
  90. 41 - minute.csv16.9 KB
  91. 42 - 28.Pivot.ipynb2.2 KB
  92. 42 - Pivot DataFrame.mp419.5 MB
  93. 42 - bank-data.csv244.3 KB
  94. 43 - 26.Resample.ipynb3.5 KB
  95. 43 - Resample DataFrame.mp433.3 MB
  96. 43 - tick.csv598.1 KB
  97. 44 - 29.Data-Normalization.ipynb2.2 KB
  98. 44 - Data Normalization.mp452.4 MB
  99. 44 - bank-data.csv244.3 KB
  100. 45 - 21-Frequency-Tables.ipynb37.4 KB
  101. 45 - Frequency Tables.mp484.6 MB
  102. 45 - titanic.csv58.9 KB
  103. 46 - 22-Pandas.ipynb311.5 KB
  104. 46 - Visualization Part 1 Pandas.mp491.7 MB
  105. 46 - diamond.csv4.0 KB
  106. 47 - Charts-with-Matplotlibs.ipynb9.9 KB
  107. 47 - Visualization Part 2 Matplotlib.mp464.0 MB
  108. 47 - minute.csv16.9 KB
  109. 48 - 30.Calculate-Price-Changes.ipynb2.1 KB
  110. 48 - Calculate Price Changes.mp414.6 MB
  111. 48 - daily.csv98.8 KB
  112. 49 - 31.Calculate-Financial-Returns.ipynb2.1 KB
  113. 49 - Calculate Financial Returns.mp48.0 MB
  114. 49 - daily.csv98.8 KB
  115. 50 - 33.TVPI-or-multiples.ipynb46.4 KB
  116. 50 - TVPI.mp433.1 MB
  117. 50 - daily.csv98.8 KB
  118. 51 - 34.CAGR-vs-Annual-Returns.ipynb64.6 KB
  119. 51 - CAGR.mp427.1 MB
  120. 52 - 35.Geometric-Returns.ipynb92.7 KB
  121. 52 - Geometric Returns.mp424.7 MB
  122. 53 - 32.Risk-vs-Reward.ipynb2.3 KB
  123. 53 - Risk vs Returns.mp417.3 MB
  124. 53 - daily.csv98.8 KB
  125. 54 - 36.Simple-vs-Compound-Interest.ipynb5.8 KB
  126. 54 - Simple vs Compound Interest.mp422.8 MB
  127. 55 - 37-Continuous-Compounding.ipynb5.1 KB
  128. 55 - Continuous Compounding.mp424.2 MB
  129. 56 - 38.Intro-to-Log-Returns.ipynb2.3 KB
  130. 56 - Intro to log Returns.mp419.1 MB
  131. 57 - 39.Daily-Returns-vs-Log-Returns.ipynb47.9 KB
  132. 57 - Daily Return vs Log Returns.mp446.4 MB
  133. 58 - 40.More-about-Log-Returns.ipynb148.8 KB
  134. 58 - More About Log Returns.mp445.2 MB
  135. 59 - 25.Intro-to-Statistics.ipynb231.5 KB
  136. 59 - Descriptive Statistics.mp4108.4 MB
  137. 59 - marks.csv226 bytes
  138. 60 - Five Point Summary.mp434.1 MB
  139. 60 - Five-point-Summary.ipynb15.2 KB
  140. 61 - Moving Averages.mp489.3 MB
  141. 61 - Moving-Averages.ipynb240.3 KB
  142. 61 - nifty.csv98.8 KB
  143. 62 - 27.Confidence-Intervals.ipynb69.2 KB
  144. 62 - Confidence Intervals.mp477.0 MB
  145. 63 - 26.Distributions.ipynb135.3 KB
  146. 63 - Statistical Distributions.mp483.9 MB
  147. 64 - 28.Hypothesis.ipynb42.6 KB
  148. 64 - Hypothesis Testing.mp487.5 MB
  149. 65 - 29-Analysis-of-variance.ipynb21.5 KB
  150. 65 - Analysis of Variance.mp440.0 MB
  151. 66 - 30-Linear-Regression.ipynb150.5 KB
  152. 66 - Linear Regression.mp478.1 MB
  153. 66 - mtcars.csv1.7 KB
  154. 67 - 31-Logistic-Regression.ipynb30.7 KB
  155. 67 - Logistic Regression.mp456.8 MB
  156. 67 - titanic.csv58.9 KB
  157. 68 - 32-Decision-Trees.ipynb175.3 KB
  158. 68 - Decision Trees.mp483.6 MB
  159. 69 - 33-Random-Forests.ipynb5.8 KB
  160. 69 - Random Forests.mp439.0 MB
  161. Bonus Resources.txt386 bytes

Discussion

You need an account to post, vote or save.

Loading comments…

Tracker details