This monograph provides a deep insight in the concepts of Prediction of ham or Spam Using Machine Learning. An overview of Spam Mail. Various Algorithms for detecting spam has been provided in understandable form as Architecture Diagram. E-mails play an important role in our lives because of many reasons such as personal communications, business-focused activities, marketing, advertising etc. E-mails make life easier because of meeting many different types of communication needs. Design of Spam or ham mail has been explained each level. The analysis of dataset by supervised machine learning technique (SMLT) to capture several information’s like, variable identification, uni-variate analysis, bi-variate and multi-variate analysis, missing value treatments and analyze the data validation, data cleaning/preparing and data visualization will be done on the entire given dataset. This Code then run in Flask is an software to Build the Website. A special feature of this monograph lies in the Python programs which can be implemented for various Techniques. These programs are tested and validated.