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  1. Feature Ranking #python #DataScience
    1
    TOP_FEATURES = len(feature_list)
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    forest = RandomForestClassifier(n_estimators=10,max_depth=6)#, random_state=3)
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    forest.fit(l_mat[1],l_label[1])
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  2. Data Ingestion #python #DataScience
    1
    def get_data_lists(selected_col=[], indvGroupOnly=False):
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      	# Data input
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        xls = pd.ExcelFile("final_data_NMR_DILC_comb.xlsx")
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        day1_org = pd.read_excel(xls,"Day1")
  3. Get all Tags Anki
    1
    # WRITE CODE BLOCK IN DEBUG CONSOLE (cmd shift D in anki main window)
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    # RUN CODE w Cmd Return
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    4
    #GET ALL TAGS
    5
    from aqt import mw
  4. Boruta and Classification #python #D...
    1
    feat_true, feat_top_rank = boruta_MP(l_mat,l_label,l_title,l_features,nest='auto',top_rank=5)
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    # TRUE Feat 
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    l_cv = 3,5,6,7
  5. Profiling Python File RunTime #pytho...
    1
    c_profiler -> gives times of functions
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    line_profiler -> gives  times of line by lie
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    4
    #@profile -> needed for linebyline
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    def func():
  6. SSH Commands #Shell
    1
    **General File/Directory Commands**
    2
    rm _fileName_  ->  remove file
    3
    rm -rf _dirName_ -> remove folder 

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March 2025

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