Supervised Machine Learning: Classification

International Business Machines Corporation, or IBM, is a renowned technology company based in the United States. As a leader in driving technological advancement, IBM offers opportunities for you to be part of a community that focuses on innovation and research. You will have access to a company that has been at the forefront of technological development for over a century, with a strong presence in cloud computing, artificial intelligence, and cybersecurity.

Specifically, IBM focuses on delivering enterprise solutions in areas like cloud computing, artificial intelligence, cybersecurity, and quantum computing. With 345 programs available, you can explore different aspects of technology and consulting services. For instance, IBM's AI platform Watson has revolutionized data analytics and machine learning, giving you a unique opportunity to learn from industry leaders.

As you join IBM, you will be part of a global network with a strong presence in the United States. You will have opportunities to engage with a company that holds thousands of patents and is committed to addressing global challenges through technology. With its headquarters in Armonk, New York, you will be close to a major hub for business and technology, offering a unique blend of academic and professional experiences.

This program is a non-degree course in Supervised Machine Learning: Classification, offered by International Business Machines Corporation (IBM) in the United States. It's for aspiring data scientists who want hands-on experience with classification techniques. The course lasts several weeks and helps you learn how to train predictive models.

The curriculum covers logistic regression models, decision tree and tree-ensemble models, and other ensemble methods for classification. You'll learn how to use error metrics to compare models and handle unbalanced classes in a data set. The hands-on section focuses on best practices for classification, including train and test splits.

After completing this course, you can pursue careers as a Data Scientist, Business Intelligence Analyst, Data Engineer, or Machine Learning Engineer. You can work in industries like technology, finance, or healthcare, and employers may include companies like IBM, Google, or Microsoft. You'll have skills in predictive modeling, data analysis, and classification techniques.