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Machine Learning
Lexi B. edited this page Jun 24, 2025
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| Course Name | Description | Skills Covered | Time to Complete |
|---|---|---|---|
| Google Colab | This sandbox from Google offers a great way to practice your Machine Learning skills. | N/A | N/A |
| TensorFlow Developer Skills | This course will teach you how to program in Python and how to run Python programs in PyCharm. You'll then learn more about how to find information in TensorFlow APIs. After that, you'll learn how to create machine learning models using TensorFlow. | Python, PyCharm, Machine Learning Models | 2.5 hours |
| Intro to TensorFlow | This course will teach you about the TensorFlow 2.x API hierarchy and will get to know the main components of TensorFlow through hands-on exercises. | numPy, APIs, Jupyter Notebooks | 3 hours |
| Foundations of PyTorch | This course covers many aspects of building deep learning models in PyTorch, including neurons and neural networks, and how PyTorch uses differential calculus to train such models and create dynamic computation graphs in deep learning. | PyTorch, Machine Learning, Tensors, Autograd Library, Dynamic Computation Graphs | 4 hours |