Python, a versatile and powerful programming language, has become the de facto standard for data science and machine learning due to its simplicity, readability, and an extensive ecosystem of libraries and frameworks. Training models, whether they are for predictive analytics, classification tasks, or generating insights from unstructured data, heavily relies on Python’s capabilities. This article delves into how Python facilitates model training, exploring key libraries, the process of training, and best practices.
Key Libraries for Model Training in Python
1.TensorFlow and Keras: TensorFlow is an open-source machine learning framework developed
