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Session 17 - Pandas DataFrame | Data Science Mentorship Program (DSMP) 2022-23 | Free Session
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CampusX Data Science Mentorship Program 2022-23 - Session 17 - Pandas DataFrame | Data Science Mentorship Program (DSMP) 2022-23 | Free Session

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This course includes

  • 365.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Data Science Mentorship Program (DSMP) 2022-23 ---------------------------------------------------------------------------------------------------------------------------------------------- Enroll in this Programme from our Website - https://learnwith.campusx.in/ Course Website Link - https://campusx1040.graphy.com/s/preview/courses/CampusX-Data-Science-Mentorship-Program#6376dbd8e4b065a4cadac4db YouTube Playlist - https://www.youtube.com/playlist?list=PLKnIA16_RmvbAlyx4_rdtR66B7EHX5k3z ------------------------------------------------------------------------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------------------------------------------------------------------------- Datasets Used in the session - https://drive.google.com/drive/folders/18ZsL5K8PiFT9GS1631lpGIE3HMR0n1G8?usp=share_link Notebook Link - https://colab.research.google.com/drive/1k_CV931NE4_jMxmu3k2ASPMmIA4g5Wcn?usp=sharing ------------------------------------------------------------------------------------------------------------------------------------------------------- Timestamp ------------------- 0:00 Start 2:16 Plan of session 4:33 Dataframe intro 6:45 Creating DataFrame 7:02 -- using lists 9:32 -- using dicts 11:32 -- using read_csv 16:34 DataFrame Attributes and Methods 16:45 -- shape 17:46 -- dtypes 19:09 -- index 20:00 -- columns 20:49 -- values 21:48 -- head and tail() 22:58 -- sample() 24:12 -- info() 26:53 -- describe() 29:34 -- isnull() 31:30 -- duplicated() 34:05 -- rename() 37:18 Doubts 40:14 Mathematical Methods 46:17 Selecting cols from a DataFrame -- single cols 48:35 Selecting cols from a DataFrame -- multiple cols 53:15 Selecting rows from a DataFrame 55:46 -- iloc - searches using index positions 1:00:13 -- loc - searches using index labels 1:06:00 Selecting both rows and cols 1:10:30 Doubts 1:11:22 Filtering a DataFrame 1:42:24 Adding new cols - completely new 1:44:04 Adding new cols - from existing ones 1:49:55 Doubt 1:50:32 Dataframe function - astype 1:58:25 Doubt

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