Machine Learning Complex
Machine Learning is not magic - it is a tool. Behind every recommendation algorithm, anomaly detector, and neural network lies concrete mathematics and code.
This course teaches you how to understand and build these systems from scratch.
Over the course of 24 lessons, you will progress from basic analytics to building models and tackling real-world ML challenges.
No lessons are available yet.
Course Details:
Level: Beginner → Intermediate
Format: Online learning with mentor support
Duration: 24 sessions
Start: New groups every month
Curriculum:
What's Inside: Data handling (NumPy, Pandas), classic algorithms (regression,
trees, boosting), clustering and anomaly detection, recommender systems,
neural networks (TensorFlow, CNN), introduction to Transformers and GANs.
Tools: Python, Jupyter Notebook, Google Colab, ML libraries.
Approach:
Learn through practice and by building models using real-world data. You will learn
not just how to run algorithms, but how to truly understand how they work.
Outcome:
Upon completing the course, you will have your own ML project. You will be ready to
advance your career in Data Science or Machine Learning.
What's Next:
Data Science Pro, Data & AI Engineer, Junior ML Engineer roles.
Enrollment is open. New groups start every month. Sign up for the course or
book a consultation.