jpradas1/Applied_Machine-Learning_Python
This repository contains the topics that were taught in the coursera course Applied Machine Learning in Python, it contains the assignments as well.
This collection of materials helps anyone who wants to learn and practice applying machine learning techniques to real-world problems. It provides structured examples and assignments for building models that can classify data or make predictions, using common machine learning algorithms. People looking to understand and implement practical machine learning solutions for tasks like disease diagnosis or predicting engagement would find this useful.
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Use this if you are learning machine learning and want hands-on examples, datasets, and assignments to solidify your understanding of supervised and unsupervised learning, model evaluation, and common algorithms.
Not ideal if you are an experienced machine learning practitioner looking for advanced research, novel algorithms, or a ready-to-deploy production system.
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May 18, 2023
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