TEMAS:

1.- How To Clean Data With Python Pandas Pipes

Link: https://github.com/ecmiguelon/Python/blob/main/Pipe.ipynb

https://www.youtube.com/watch?v=M6YPuAub4iw

Fuente: analyticswithadam

https://github.com/analyticswithadam

https://www.youtube.com/@analyticswithadam

Name		Name	Last commit message	Last commit date
Latest commit History 72 Commits
Data		Data
Exploritory Data Analysis with Python First 10 Steps		Exploritory Data Analysis with Python First 10 Steps
Simple Python Dashboard Part 1		Simple Python Dashboard Part 1
.DS_Store		.DS_Store
Anthem_Sentiment_Analysis.ipynb		Anthem_Sentiment_Analysis.ipynb
Apex_Connect.ipynb		Apex_Connect.ipynb
Binning.ipynb		Binning.ipynb
Boxplot.ipynb		Boxplot.ipynb
Boxplot_Short.ipynb		Boxplot_Short.ipynb
Categorical_Encoding.ipynb		Categorical_Encoding.ipynb
Dummy_Data.ipynb		Dummy_Data.ipynb
Dunn Transportation.pdf		Dunn Transportation.pdf
GPT_4o_Supplier_Analysis.ipynb		GPT_4o_Supplier_Analysis.ipynb
Imbalanced_Dataset.ipynb		Imbalanced_Dataset.ipynb
Introduction_to_Plotly.ipynb		Introduction_to_Plotly.ipynb
Introduction_to_Plotly_Express.ipynb		Introduction_to_Plotly_Express.ipynb
LICENSE		LICENSE
LOF.ipynb		LOF.ipynb
Lambda.ipynb		Lambda.ipynb
Life Quest.pdf		Life Quest.pdf
Linear_Regression.ipynb		Linear_Regression.ipynb
OpenAI_API_in_Python.ipynb		OpenAI_API_in_Python.ipynb
Pandas_Profiling.ipynb		Pandas_Profiling.ipynb
Pipe.ipynb		Pipe.ipynb
Police Ordinance.pdf		Police Ordinance.pdf
Pull_all_Comments_and_Replies_for_YouTube_Playlists.ipynb		Pull_all_Comments_and_Replies_for_YouTube_Playlists.ipynb
Pulling_Tweets.ipynb		Pulling_Tweets.ipynb
Python_Window_Functions.ipynb		Python_Window_Functions.ipynb
QCut.ipynb		QCut.ipynb
Query.ipynb		Query.ipynb
Query_Big_Query_from_Python_Notebook.ipynb		Query_Big_Query_from_Python_Notebook.ipynb
README.md		README.md
REF TWEETS.csv		REF TWEETS.csv
Sentiment_Analysis_OpenAI_API.ipynb		Sentiment_Analysis_OpenAI_API.ipynb
Univariate_Outlier_Detection.ipynb		Univariate_Outlier_Detection.ipynb
Web_Scraping_from_TrustPilot v2.ipynb		Web_Scraping_from_TrustPilot v2.ipynb
Web_Scraping_from_TrustPilot.ipynb		Web_Scraping_from_TrustPilot.ipynb
WordCloud.ipynb		WordCloud.ipynb
Working_with_APIs_Covid.ipynb		Working_with_APIs_Covid.ipynb
YouTubeComments.ipynb		YouTubeComments.ipynb
YouTube_Comments_Advanced.ipynb		YouTube_Comments_Advanced.ipynb
loan.csv		loan.csv

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TEMAS:

1.- How To Clean Data With Python Pandas Pipes

Fuente: analyticswithadam

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Fuente: analyticswithadam

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