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Welcome
Prerequisites
Lectures
Lecture 1. Introduction
Lecture 2. Linear models
Lecture 3. Model Evaluation
Lecture 4. Ensemble Learning
Lecture 5. Data preprocessing
Lecture 6. Neural Networks
Lecture 7: Convolutional Neural Networks
Lecture 8. Transformers
Labs
Lab 1a: Linear regression
Lab 1b: Linear classification
Lab 3: Ensembles
Lab 4: Data preprocessing
Lab 4: Neural networks
Lab 7a: Convolutional neural nets
Tutorials
Python for data analysis
Python for scientific computing
Machine Learning in Python
Lab 1: Machine Learning with Python
Lab 2: Model Selection in scikit-learn
Lab 4: Data engineering pipelines with scikit-learn
Lab 4: Deep Learning with PyTorch
Repository
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Index
