Code 3

code 3

+from IPython.display import Image
+from IPython.core.display import HTML 
+Image(url= "https://www.researchgate.net/profile/Suraj-Rajendran-2/publication/341829993/figure/fig1/AS:898745348673537@1591288997886/General-Workflow-of-Text-Processing-and-Document-Classification
+
+#load and display the shape of the dataset.
+df = pd.read_csv("ResumeScreeningDataset.csv")
+df.shape
+(962, 2)
+#first 10 rows of the df
+df.head(10)
+#info about the features/columns in df
+df.info()
+
+# check missing values in df
+df.isna().sum()
+Category    0
+Resume      0
+dtype: int64
+# Values distribution of the label column (target) in  df 
+df["Category"].value_counts()
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