diff --git a/Handwriting_Recognizer_DNN_classifier.py b/Handwriting_Recognizer_DNN_classifier.py
deleted file mode 100644
index 01481c6..0000000
--- a/Handwriting_Recognizer_DNN_classifier.py
+++ /dev/null
@@ -1,24 +0,0 @@
-#Importing Libraries
-import numpy as np
-import tensorflow as tf
-import tensorflow.contrib.learn as learn
-import tensorflow.contrib.metrics as metrics
-
-#Importing Dataset
-mnist = learn.datasets.load_dataset('mnist')
-
-#Training Datasets
-data = mnist.train.images
-labels = np.asarray(mnist.train.labels, dtype=np.int32)
-test_data = mnist.test.images
-test_labels = np.asarray(mnist.test.labels, dtype=np.int32)
-feature_columns = learn.infer_real_valued_columns_from_input(data)
-
-#Applying Classifiers
-classifier = learn.DNNClassifier(feature_columns=feature_columns, n_classes=10,hidden_units=[1024,512,256])
-classifier.fit(data, labels, batch_size=100, steps=1000)
-
-#Evaluating the Results 
-classifier.evaluate(test_data, test_labels)                                      
-accuracy_score = classifier.evaluate(test_data, test_labels)["accuracy"]
-print('Accuracy: {0:f}'.format(accuracy_score))
\ No newline at end of file
diff --git a/location_using_ip_address.py b/location_using_ip_address.py
deleted file mode 100644
index 387f098..0000000
--- a/location_using_ip_address.py
+++ /dev/null
@@ -1,3 +0,0 @@
-import geocoder
-g = geocoder.ipinfo('me')
-print(g.latlng)
diff --git a/locator.py b/locator.py
deleted file mode 100644
index f3cbbda..0000000
--- a/locator.py
+++ /dev/null
@@ -1,5 +0,0 @@
-import geocoder
-t=input("enter the location:")
-g = geocoder.arcgis(t)
-print(g.latlng)
-