Course Length
5 Weeks
Enrollment
Start Anytime
Self-Paced Online
Learn at your own pace
Time Commitment
2 - 4 hours per week
Course Outline
Introduction to Scikit-Learn
This module introduces Scikit-Learn, an essential machine learning library in Python. It covers its core features, including supervised and unsupervised learning algorithms, model training, and evaluation. Students explore Scikit-Learn's functionalities for classification, regression, clustering, and model evaluation, establishing a foundational understanding of machine learning with this powerful library.
Machine Learning with Scikit-Learn
Advanced PyTorch Techniques and Applications
Introduction to Tensor Flow
Deep Learning Fundamentals with Tensor Flow
Convolutional Neural Networks (CNNs) with Tensor Flow
Recurrent Neural Networks (RNNs)
Introduction to PyTorch and Tensors
Deep Learning with PyTorch
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