Machine Learning with Python & TensorFlow
From regression to neural nets — hands-on with real datasets
By Demo InstructorINTERMEDIATE
A practical, project-based path through classical ML and modern deep learning using scikit-learn and TensorFlow/Keras.
What you'll learn
- ✓Train & evaluate ML models with scikit-learn
- ✓Build neural networks in TensorFlow/Keras
- ✓Handle real datasets end-to-end
- ✓Avoid overfitting & tune hyperparameters
Curriculum · 6 lessons
ML Foundations · 3 lessons
- ▸ What is machine learning?Preview
- ▸ Your first model: linear regressionPreview
- ▸ Train/test split & metrics
Deep Learning with TensorFlow · 3 lessons
- ▸ Neurons, layers & activations
- ▸ Build an image classifier
- ▸ Regularisation & dropout
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