This course is offered by IBM in coursera and it's contains final week's assignment(week-06).
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Updated
Jul 11, 2020 - Jupyter Notebook
This course is offered by IBM in coursera and it's contains final week's assignment(week-06).
'Machine Learning with Python' Coursera course by 'IBM'. Repository contains code, quiz answers and dataset for the course.
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.
All my projects
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.
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