Zihan Lin

Jan 19, 2025 | mdpi.com | Mengru Liu |Siqi Liu |Zihan Lin |Xi Chen

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Jan 16, 2025 | medium.com | Zihan Lin

Zihan Lin·Follow6 min read·--In-sample evaluation tells us how well our model fits the data already given to train it. One way to evaluate models and select the best one is through visualization. First let’s import the visualization package, seaborn:import seaborn as snsRegression PlotRegression plot will show a combination of a scattered data points (a scatterplot), as well as the fitted linear regression line going through the data.

Nov 5, 2024 | medium.com | Zihan Lin

Zihan Lin·Follow3 min read·--In the case of large DataFrames, we can use head(), tail() and info() methods to get the overview of the DataFrame.

Oct 31, 2024 | medium.com | Zihan Lin

Zihan Lin·Follow3 min read·--In this blog, I’ll share solutions to the questions from the Introduction to Pandas study plan on LeetCode. 2877. Create a DataFrame from Listimport pandas as pddef createDataframe(student_data: List[List[int]]) -> pd.DataFrame: return pd.DataFrame(student_data, columns = ["student_id", "age"])2878.

Oct 31, 2024 | resjournals.onlinelibrary.wiley.com | Yi Li |Zihan Lin |Qing Huang |Zhenyue Su

CONFLICT OF INTEREST STATEMENT The authors declare no conflicts of interest. Supporting Information Filename Description imb12972-sup-0001-Figures.docxWord 2007 document , 525.3 KB Figure S1. The total ion chromatograms (TICs) of the samples. Figure S2. The classification of the identified metabolites. imb12972-sup-0002-TableS1.xlsxExcel 2007 spreadsheet , 95.4 KB Table S1. Metabolites identified in this study.