ML Model Training and Benchmarking

We choose python for ML and data analysis. Because:

• Simple syntax and easy to use
• ML Library and framework support

The python libraries and frameworks we choose for ML are:

1. TensorFlow

• High performance (GPU support/ highly parallel)
• Easy to debug
• visualization support

1. Numpy

• Easy matrix manipulation
• datatype with high compatibility

1. Pandas

• High efficiency when handling large data
• Dataset manipulation and customization

1. Matplotlib

• Simple and easy to use