Welcome to Bussma
All you need is an idea. We handle the rest.
All you need is an idea. We handle the rest.
This course offers a comprehensive introduction to the core concepts of Machine Learning (ML) and foundational data principles. It begins with an overview of ML and the data lifecycle, followed by essential techniques in data preprocessing and transformation. Learners will explore both supervised and unsupervised learning approaches, along with the basics of model evaluation. The course also covers feature engineering techniques, the fundamentals of neural networks, and addresses the ethical considerations in building ML systems. By the end, students will gain insights into the future trends shaping the field of machine learning.
menna elnashar
Teaching Assistant
This course offers a comprehensive introduction to the core concepts of Machine Learning (ML) and foundational data principles. It begins with an overview of ML and the data lifecycle, followed by essential techniques in data preprocessing and transformation. Learners will explore both supervised and unsupervised learning approaches, along with the basics of model evaluation. The course also covers feature engineering techniques, the fundamentals of neural networks, and addresses the ethical considerations in building ML systems. By the end, students will gain insights into the future trends shaping the field of machine learning.
Lessons
10
Duration
4.5 Hours
Skill Level
Entry level
Views
10