'Machine Learning with Python' Coursera course by 'IBM'. Repository contains code, quiz answers and dataset for the course.

This course is offered by IBM in coursera and it's contains final week's assignment(week-06).

All my projects

Rock Paper Scissors is a Python project where the goal is to create a bot that competes against four different opponents in a series of games. The bot must win at least 60% of the time against each opponent.

The Book Recommendation Engine uses K-Nearest Neighbors (KNN) to suggest books similar to a given one based on user ratings.

The Cat and Dog Image Classifier is a machine learning project where the goal is to classify images as either cats or dogs using a convolutional neural network (CNN).

Answer keys for complete course - Machine Learning With Python by IBM on Coursera

The Linear Regression Health Costs Calculator predicts healthcare expenses using regression. It processes a dataset with individual details and healthcare costs, applying an 80/20 train-test split.

The Neural Network SMS Text Classifier uses machine learning to classify SMS messages as "ham" or "spam." The model, trained on a labeled dataset, predicts the likelihood of a message being spam and labels it accordingly.