3 ML engineers ready to share from their knowledge & experiences
starting from APRIL
Machine Learning Course
This course is an atypical one. It contains a practical project that you can add to your portfolio as an experience in the job of machine learning engineer.
12 sessions, offline syncs, support throughout the course
30% theory
70% practice
Register here.
2400 RON
25% discount for students
“Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world.”
Atul Butte
Each course will start with a warm-up applied to what we are going to learn in that workshop and will end with putting into practice everything we have learned.
Course modules:
- Work methodology
- ML Pipeline
- NumPy & Pandas
- Matplotlib & Bokeh
- Supervised Learning - Classification
- Supervised Learning - Regression
- Unsupervised learning
- Deep Learning
- Data Engineering
- NLP
- Computer Vision
- Extras: CV & Interviews
Register here.
