Day68 Deep Learning Lecture Review - Lecture 3
Neural Net Zoo: Transformers, Recurrent Neural Networks (RNNs) and Graph Neural Networks (GNNs)
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Day67 Deep Learning Lecture Review - Lecture 2-3
Types of Learning and Neural Net Zoo: Fully Connected Networks (MLPs), Inductive Bias, and Convolutional Neural Networks (CNNs)
Day66 Deep Learning Lecture Review - Lecture 1
Basic Mathematics, Supervised ML, and Review of Multi-Layered Perceptron
Day65 ML Review - Ensemble Method (4)
Bagging & Boosting : Basic Concepts & Code Implementation
Day64 ML Review - Ensemble Method (3)
Using the Majority Voting Principle to Make Predictions, and Evaluating & Tuning the Ensemble Classifier
Day63 ML Review - Ensemble Method (2)
Code Structure of Combining Classifiers via Majority Vote
Day62 ML Review - Ensemble Method (1)
Key Concepts and Mathematics Explanation
Day61 ML Review - Class Imbalances
Use Other Metrics, Assign Different Class Weights, or Upsample the Minority Class
Day60 ML Review - Cross Validation (5)
ROC area Under The Curve (ROC AUC)
Day59 ML Review - Cross Validation (4)
Confusion Matrix and F1 score