Final project: Machine Learning Application Development FUNiX

ABOUT THE COURSE!

You have completed four courses in the Machine Learning Program. Having started with the Introduction to Machine Learning course, you have learned about Machine Learning concepts, methodology, algorithms, and applications of Machine Learning. In the second course, Regression, you have implemented regression techniques from scratch and used them to solve regression problems. Then, in the Classification course, you have acquired knowledge on widely used algorithms like Decision Tree, Random Forest, SVM or Neural Network and their application in practical datasets. Also, in the fourth course, you have chance to apply clustering algorithms in solving real-world problems.

Hope you have enjoyed learning these four courses and find yourself ready for this final project. You will start with two projects focusing on building machine learning models to detecting credit card fraud and recognizing intents of user inputs in chatbot systems. In the final task, you will have a chance to engage in a real-world project and apply what you have learned about in previous courses to build your own machine learning project.

COURSE INFORMATION

COURSE OBJECTIVES

After taking this course, the students should all be able to:

• Understand machine learning topics: supervised learning, unsupervised learning
• Understand and use regression algorithms to solve real world problems
• Understand and use classification algorithms to solve real world problems
• Understand and use clustering algorithms to solve real world problem

COURSE STRUCTURE

COURSE DESIGNERS

REVIEWERS & TESTER

 Program Reviewers

Assoc. Prof. Tu Minh Phuong Dean of IT Faculty Posts and Telecommunications Institute of Technology (PTIT)	Ph.D. Hoang Anh Minh R&D Manager, FPT Software Chief Scientist, LA Office	Ph.D. Le Hai Son       Machine Learning Expert       FPT Technology Innovation