INTRODUCTION
Classification of the data is based on the categorization that we will set on the machine learning. Thus in this project, I will apply the data classification technique to classify the data based on the feature that has been set on the dataset. The data that I use is from Fisher Iris data and smartphone sensor data . Thus it will later show us the activities and feature of the trained model and can be use for prediction.
|
PROBLEM STATEMENT
The problems that make this program develop are:-
OBJECTIVE
|
FRAMEWORK
ALGORITHM AND TECHNIQUE
RESULT
|
It shows that the dataset can be created into model that later can be used as a predictor. The models are approximation not just for machine learning model. All model are approximation based on several assumption. Machine learning can explain complex module and data. But to apply machine learning successfully, we need to find useful data. And that can be challenging task.
PROFILE
NAME : MUHAMMAD MURSHID BIN RAMLAN
ID : BTBL15040498
COURSE : NETWORK SECURITY
SUPERVISOR : DR. MOHAMAD AFENDEE BIN MOHAMED
ID : BTBL15040498
COURSE : NETWORK SECURITY
SUPERVISOR : DR. MOHAMAD AFENDEE BIN MOHAMED