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.

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.

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.

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%.