This book is designed to provide the reader with basic Python 3 programming concepts related to Machine learning.
Keras-based code samples are.
The final chapter includes material on NLP and RL.
The sixth chapter is devoted to Machine Learning classifiers, such as logistic regression, k-NN, decision trees, random forests, and SVMs.
The fifth chapter introduces the fundamental concepts of Machine learning.
The first four chapters provide a fast-paced introduction to Python 3, NumPy, and Pandas.
This book is designed to provide the reader with basic Python 3 programming concepts related to Machine learning