Machine Learning & Deep Learning (8 weeks)

Posted on May 25, 2025 by Ikigai_admin

Core Concepts:
Supervised and Unsupervised Machine Learning.
Deep Learning with neural networks (CNNs, RNNs).
Model selection, hyperparameter tuning, and cross-validation.

Tools:
Scikit-Learn, TensorFlow, PyTorch

Project:
Train and tune machine learning and deep learning models on image or text data, documenting model performance metrics.