Sentiment analysis is a key technique in Natural Language Processing (NLP) used to determine whether a given piece of text expresses a positive or negative sentiment. In this project, we build a sentiment analysis model that can classify movie reviews as positive or negative using the Naive Bayes algorithm. This simple machine learning application uses

In this beginner-friendly machine learning tutorial, you’ll learn how to recognize handwritten digits using Python and the MNIST dataset. We’ll use the K-Nearest Neighbors (KNN) algorithm, one of the simplest yet effective classifiers, to predict digits with over 90% accuracy. This project is a great way to practice with real-world image data, model training, and

Are you looking for a beginner-friendly machine learning project to improve your Python skills and boost your data science portfolio? You’re in the right place! In this tutorial, we’ll walk through building a simple house price prediction model using Python, based on real-world housing data from California. You’ll learn how to: The best part? The