Kenath Prasad
This course is part of UBC Micro-certificate in Health Data Analytics: Opportunities and Applications program. Participants of this course are able to:
1. master the usage of WEKA for data preprocessing, analysis, visualization and implementation of machine learning algorithms
2. provide multiple views, deal with complexity and describe the pros and cons of various ways to perform data reduction
3. introduce principal component analysis and data clustering
4. learn basic machine learning terminology
5. perform simple machine learning algorithms
6. develop a basic understanding of NLP and feature extraction techniques.
Skills / Knowledge
- Skills learned include gaining proficiency in using WEKA for data handling, analysis, visualization, and executing machine learning processes. Ability to visualize datasets and data reduction. Knowledge of foundational concepts including principal component analysis and data clustering. Familiarity with essential machine learning terms, practice basic algorithms, and gain introductory knowledge of Natural Language Processing (NLP) and feature extraction techniques.
Issued on
June 7, 2024
Expires on
Does not expire