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Data Preprocessing in Machine Learning| Linear Regression | Logistic Regression | Confusion Matrix | Trees and Forestshttps://www.youtube.com/playlist?list=PLE-8p-CwnFPuOjFcbnXLFvSQaHFK3ymUW
1.0 Create, Describe Dataframe | Operations with Pandas Datasethttps://youtu.be/gNTPt1ggAhg
1.1 Navigate Pandas Dataframe rows and columns based on Conditionshttps://youtu.be/KkUoRIIRKW0
1.2 How to add Columns in Pandas DataFrame using INSERT methodhttps://youtu.be/5Dgu7mv3JtQ
1.3 Select records from Pandas Dataframe based on Conditionshttps://youtu.be/CnKo7lka0to
1.4 Reading Different file like csv, excel, text, json, zip file through python pandashttps://youtu.be/IqVaze49O18
1.5 Read Tables from HTML page using Python Pandashttps://youtu.be/sb8JsLhurXo
1.6 Map External Values to Pandas Column using map functionhttps://youtu.be/Qlhld9whk7I
1.7 Zip Lists to build Dataframe from scratchhttps://youtu.be/_9miGUXg61Y
1.8 Search the values of a column in another column in any rowhttps://youtu.be/5UyQaxzQEe4
1.9 Use of python dictionary for mapping the values of a columnhttps://youtu.be/6MJfg_Tf324
1.10 Python Pandas Map Function | What if key is missing from the dictionary that we are trying to map?https://youtu.be/PVfsaTTjvOU
1.11 Ranking Rows of a Pandas Datasethttps://youtu.be/qOoso7VSF2g
1.12 Pandas String Manipulations | String Strip using Python Pandashttps://youtu.be/GhSqQwI8aMA
1.13 Sort Pandas Dataframe | Sorting in Python Pandas Dataframehttps://youtu.be/rtt8keMX87s
3.0 Replace cell value, Rename a column name of Pandas dataframehttps://youtu.be/y8VqyzqkoSI
3.1 Select across Multiple Columns of a Python Pandas datasethttps://youtu.be/gOAh0nc2VxA
3.2 Rename multiple columns of a Pandas Dataset in a single shothttps://youtu.be/C7wjwLPr9AA
3.3 Python Pandas Brackets Notation Vs Dot Notationhttps://youtu.be/T2ScJTDQujY
3.4 How to compare columns in pandas | Compare Columns using Dot Notationhttps://youtu.be/hFTMSb7loMA
4.0 Apply Built-in functions on the pandas Dataframe | Sum | Max | Min | Counthttps://youtu.be/hllTTzHazDY
4.1 Python Pandas Lambda Function | How to apply Pandas Lambda Function to your Datasethttps://youtu.be/6X6A8M2-Avg
4.2 Pandas any() and all() functionhttps://youtu.be/8rPBPJVq030
5.1 Drop Rows and Columns of a Pandas Dataset - P1https://youtu.be/_ctp-hhikac
5.2 Drop Rows and Columns of a Pandas Dataset - P2https://youtu.be/3CSAUQrRcpI
5.3 How to drop specific column of a Pandas Datasethttps://youtu.be/AnO5pSyaNsA
6.1 Groupby with Pandas | Filter rows using Groupbyhttps://youtu.be/okJr-WVkI4U
6.2 Pandas Groupby based on Timestamphttps://youtu.be/3VXvKBxq8CY
6.3 Python Pandas Pivot Table and Groupby Functionalityhttps://youtu.be/_E1bMgiI-Co
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Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

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URLs of crawlers that visited me.