XandraV/ibm-machine-learning-certificate-projects
Projects for ML courses on Supervised Learning, Unsupervised Learning, Deep Learning, Reinforcement Learning and specialized topics such as Time Series Analysis and Survival Analysis .
This collection of projects helps aspiring data scientists and machine learning practitioners learn and apply various machine learning techniques. It provides practical examples for tasks like predicting economic impacts, classifying genetic variants, grouping companies by financial performance, and recognizing patterns in images or forecasting stock prices. The examples take in real-world datasets and demonstrate how to build models that produce actionable predictions or insights.
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Use this if you are learning machine learning and need concrete, hands-on examples across different domains to understand supervised, unsupervised, deep, and specialized learning methods.
Not ideal if you are looking for a ready-to-use application or a fully developed product to solve a specific business problem without needing to understand the underlying machine learning implementation.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Oct 23, 2022
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