Update README.md

README.md

 # Employee Turnover Prediction code
+#import the Libraries
+import numpy as np
+import pandas as pd
+import sys
+import sklearn
+import matplotlib
+import matplotlib.pyplot as plt
+%matplotlib inline
+import seaborn as sns
+#load and display the shape of the dataset.
+df = pd.read_csv("WA_Fn-UseC_-HR-Employee-Attrition.csv")
+print("The Shape of the dataset is : ", df.shape)
+#first 5 rows of the df
+df.head()
+#last 5 rows of the df
+df.tail()
+#info about the features/columns in df
+df.info()
+# Values distribution of the label column (target) in df 
+df["Attrition"].value_counts()
+#statistical info about the numeric columns
+df.describe()
+# check missing values in df ?
+print('Sum of Missing values in the dataset:')
+df.isna().sum()