Machine Learning Projects

Neural Network SMS Text Classifier

• Platform: Google Colaboratory
• Objective: Classify SMS messages as "ham" (normal) or "spam."
• Dataset: SMS Spam Collection dataset, pre-split into training and test data.
• Method: Created a function predict_message to classify a message as "ham" or "spam" using a neural network model.

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Linear Regression Health Costs Calculator

• Platform: Google Colaboratory
• Objective: Predict healthcare costs based on demographic and personal data using regression.
• Dataset: Contains individual information and healthcare costs, used to build a predictive model.

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Book Recommendation Engine using KNN

• Platform: Google Colaboratory
• Objective: Generate book recommendations based on similarity using the K-Nearest Neighbors algorithm.
• Dataset: Book-Crossings dataset, with 1.1 million ratings for 270,000 books by 90,000 users.
• Method: Built a function get_recommends that takes a book title as input and returns a list of five recommended books based on similarity.

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Cat and Dog Image Classifier

• Platform: Google Colaboratory
• Objective: Classify images as cats or dogs.
• Tools: TensorFlow 2.0 and Keras
• Method: Developed a convolutional neural network that classifies images of cats and dogs with an accuracy of at least 63%.