Smartphone processor classification
GOAL
To classify the different processors of smartphones on the basis of collected data.
DATASET
https://www.kaggle.com/datasets/alanjo/smartphone-processors-ranking
DESCRIPTION
By this project I have done classification of the different processor of smartphones with the help of ANN algorithm.
WHAT I HAD DONE
1.First I have imported different libraries like pandas, numpy, tensorflow,keras and etc. 2.Then I analyze the data and filter out the features which has the impact on the output. 3.Then I create two sets one of output and other of input. 4.Then I split data in train and test. 5.Then I apply the three different ANN model to it. Then take the weighted average to get the best accuracy.
MODELS USED
I have implemented the ANN model to the project to get the better accuracy than the simple algorithms
LIBRARIES NEEDED
1.pandas 2.numpy 3.tensorflow 4.keras 5.matplotlib.pyplot 6.sklearn. 7.pydot 8.ann_visualizer 9.graphviz
VISUALIZATION
ACCURACIES
ANN model provies the accuracy of approx 57 percent. accuracy: 0.5733
CONCLUSION
By this model I have classified different processor on the basis of different processor scores. This model gave me 57 percent accuracy.
YOUR NAME
Mohammed Owais