Wireless Notice Board using GSM
In a machine learning (ML) project, you build a model to make predictions or decisions based on data. For example, in sentiment analysis, you collect and preprocess text data (e.g., movie reviews), choose an ML algorithm (like Logistic Regression or BERT), train the model on the data, and evaluate its performance using metrics such as accuracy. Finally, you deploy the model to make real-time predictions. This process automates tasks like classifying text into categories, providing insights from unstructured data.