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scripting:python:datascience

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scripting:python:datascience [2022/05/19 13:43] – created jotasandokuscripting:python:datascience [2023/11/02 14:38] (current) – external edit 127.0.0.1
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   * [[https://levelup.gitconnected.com/python-numpy-pandas-for-data-science-4b548de8517a#:~:text=Introducing%20NumPy%20and%20Pandas,built%20on%20the%20NumPy%20package.|Quick_intro]]   * [[https://levelup.gitconnected.com/python-numpy-pandas-for-data-science-4b548de8517a#:~:text=Introducing%20NumPy%20and%20Pandas,built%20on%20the%20NumPy%20package.|Quick_intro]]
   * Think_DSP book [[https://greenteapress.com/thinkdsp/thinkdsp.pdf]]   * Think_DSP book [[https://greenteapress.com/thinkdsp/thinkdsp.pdf]]
 +
 +
 +----
 +PANDAS (GENERAL)
 +\\
 +  * Also install these packages: seaborn, matplot, sklearn, scikit-learn
 +  * Data can be introduced as csv, excel, json, flows.. Do ''pandas.read_'' + tab to see all the options
 +
 +----
 +
 +LINEAR REGRESSION (PANDAS)
 +\\
 +[[https://towardsdatascience.com/a-simple-guide-to-linear-regression-using-python-7050e8c751c1|Link]], 
 +\\
 +  * dependent var., independent var., intercept, coeficients and n (number of observations)
 +  * In Python with: ''statsmodels'' and ''scikit-learn''
 +
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