• 10 sessions of Classes
  • Tokyo Techies Custom Curriculum
  • Certificate On Completion

Cancellation before the second lesson is FREE of charge

Machine Learning



Language: English


This course introduces learners to the fundamental understandings of machine learning – one of the hottest trends in modern computer science and engineering. Through the theoretical lectures and hands-on practices, students will learn how to analyze, pre-process data, build and apply machine learning models and algorithms to solve practical problems, e.g., to predict/classify future outcomes of academic and business data.

Learning outcomes:

By the end of this course, students will achieve:

  • Intermediate-Advanced programming skills with Python
  • In-Depth understanding of Machine Learning algorithms (Regression, SVM, Decision Tree, K-Nearest Neighbor
  • Knowledge and practical skills on how to analyze, pre-process, visualize data using advanced tools and libraries
  • Understanding and hands-on experience in how to build Machine learning models, train the models with real datasets and apply them to solve practical problems (predictions of future outputs, classifications of future samples,…)
  • Methods to calculate, visualize model errors, and evaluate the built Machine learning models
  • Ability to work for Machine Learning projects


  • Basic PC use
  • Python basics (Optional)

Curriculum For This Course

Below are the courses that you may want to take after this course:


Tokyo Techies Lecturer

Phong Nguyen

Head of Artificial Intelligence and Data Science Department

  • Data Science and Research Mentor at Tokyo Techies
  • Master Graduate from Carnegie Mellon University.
  • Researcher in an AI lab at a big global corporation.
  • Global working experience in Singapore, Australia, US, Vietnam and Japan.
  • A results-oriented Researcher and Data Guru with vast managerial and technical experience in financial management, marketing, business planning.
  • Adapt at programming in multiple different languages, such as Java, Python and R.