What you’ll learn
- Grasp fundamentals of machine learning, deep learning, and their applications
- Set up and navigate TensorFlow, understanding its architecture and APIs
- Master supervised learning algorithms such as linear regression, SVMs, and decision trees
- Dive into unsupervised techniques including clustering and PCA
- Understand and construct neural networks, including CNNs and RNNs, using TensorFlow
- Evaluate and optimize ML models, addressing overfitting and mastering hyperparameter tuning
- Deploy TensorFlow models in production environments
- Apply skills in a hands-on image classification project
- Transition from Python basics to advanced ML & TensorFlow applications
How to Enroll Python & TensorFlow: Deep Dive into Machine Learning course?
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