diff --git a/ML Cookbook/clean_text.py b/ML Cookbook/clean_text.py
new file mode 100644
index 0000000..d5b58b6
--- /dev/null
+++ b/ML Cookbook/clean_text.py	
@@ -0,0 +1,29 @@
+
+import re as clear
+
+class process():
+    def master_clean_text(text):
+            #clean up all the html tags
+            text = clear.sub(r'<.*?>','',text)
+            #remove the unwanted punctation chars
+
+            text = clear.sub(r"\\","",text)
+            text = clear.sub(r"\'","",text)
+            text = clear.sub(r"\"","",text)
+
+            # coversion to lowercase to remove complexity
+            text = text.strip().lower()
+
+            #removing unwanted expressions
+
+            unwanted = '!"\'#$%&()*+,-./:;<=>?@[\\]^_`{|}~\t\n'
+
+            convert = dict((c," ") for c in unwanted)
+
+            # str.maketrans() --->> creates a one to one mapping of a character to its translation/replacement.
+            mapping_trans = str.maketrans(convert)
+
+            text = text.translate(mapping_trans)
+
+            return text
+    #master_clean_text("<a> Say youre scrapping a text from you'r website !! WEll it might be swap CASE or unevened you wanna remove all the punctation's into separate WOrd !!!!</a>").split()