Classification, Clustering, And Dimensionality Reduction

COURSE DESCRIPTION

The Classification, Clustering, and Dimensionality Reduction course at Mizan Institute of Technology (MiT) takes your machine learning skills to the next level. Explore advanced techniques for categorizing data, identifying patterns, and reducing the complexity of your models. Gain the expertise to build sophisticated algorithms that drive innovation and uncover hidden insights in your data.

CERTIFICATION

Upon successful completion of the course and passing the final assessment, you will receive a Mizan Institute of Technology (MiT) Certificate in Classification, Clustering, and Dimensionality Reduction. This certification demonstrates your mastery of these advanced machine learning techniques and your ability to apply them effectively in real-world scenarios.

LEARNING OUTCOMES

• Understand the principles and applications of classification, clustering, and dimensionality reduction
• Explore a variety of classification algorithms, including logistic regression, decision trees, and support vector machines
• Learn clustering techniques such as k-means, hierarchical clustering, and DBSCAN to uncover hidden patterns in your data
• Discover dimensionality reduction methods like principal component analysis (PCA) and t-SNE to simplify complex data structures
• Develop the skills to select the appropriate machine learning technique for your specific problem domain
• Gain practical experience in applying these advanced methods to real-world datasets
• Enhance your ability to extract insights, make informed decisions, and drive innovation through data-driven solutions