Image Classification using Sklearn and TensorFlow

In this project, you will build a Python application that can classify images using Sklearn and TensorFlow. The application will load and preprocess the image data, build a classification model using Sklearn, and then implement the same model using TensorFlow. You will learn how to use popular Python libraries such as pandas, Matplotlib, NumPy, Scikit-learn, and TensorFlow for image classification tasks. This project is a great starting point for anyone looking to dive into machine learning, deep learning, and AI. The project can be enhanced by adding more features such as data augmentation, transfer learning, and model evaluation metrics. The scope of this project can be increased by deploying the model as a web application or API. This project will be a great addition to your portfolio and can be a starting point for a business idea.