diff --git a/Email Spam Filtering Project b/Email Spam Filtering Project
new file mode 100644
index 0000000..8ba0001
--- /dev/null
+++ b/Email Spam Filtering Project	
@@ -0,0 +1,18 @@
+import pandas as pd
+from sklearn.model_selection import train_test_split
+from sklearn.feature_extraction.text import CountVectorizer
+from sklearn import svm
+
+spam = pd.read_csv('C:\\Users\\nethm\\Downloads\\spam.csv')
+z = spam['EmailText']
+y = spam["Label"]
+z_train, z_test,y_train, y_test = train_test_split(z,y,test_size = 0.2)
+
+cv = CountVectorizer()
+features = cv.fit_transform(z_train)
+
+model = svm.SVC()
+model.fit(features,y_train)
+
+features_test = cv.transform(z_test)
+print(model.score(features_test,y_test))