ai★ 4.9
Scikit-Learn & PyTorch Mastery
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aiMasterclassInteractive LearningCareer Path
Frequently Asked Questions
What will I learn in this course?
The complete machine learning stack. Classic ML models with Scikit-Learn and dynamic computation graphs with PyTorch.
Are there any prerequisites?
This course is structured from the ground up, but having a basic familiarity with ai concepts will help you progress faster.
How long does it take to complete?
The estimated duration is 12.0 hours, covering 45 interactive lessons and modules.
Course Modules
Duration // 12.0 hours
Lessons // 45
- 01Scikit-Learn Preprocessing pipelines
- 02Supervised Learning (SVMs, Random Forests)
- 03Unsupervised Learning (Clustering, PCA)
- 04PyTorch Tensors & Autograd
- 05Building nn.Module
- 06Training Loops in PyTorch
- 07Computer Vision with TorchVision
- 08Transfer Learning
- 09HuggingFace Transformers Integration