Sequence-to-Sequence (seq2seq) Encoder-Decoder Neural Networks [StatQuest]

Decision Tree (ID3 Algorithm) (Spring 2026) [NWT]

Decision and Classification Trees [StatQuest]

Regression Tree (Spring 2026) [NWT]

Regression Trees [StatQuest]

Random Forest and Finding Missing Value (Spring 2026) [NWT]

Random Forests Part 1 - Building, Using and Evaluating [StatQuest]

Random Forests Part 2 - Missing Data and Clustering [StatQuest]

AdaBoost [StatQuest]

AdaBoost Example Solution

Naive Bayes [StatQuest]

Logistic Regression Example and Loss Function Derivation (Fall 2025) [NWT]

Logistic Regression Example and Loss Function Derivation (Spring 2026) [NWT]

Logistic Regression and Neural Network Perceptrons [SWG]

Logistic Regression Part II Examples (Spring 2026) [NWT]

Gradient Descent, Step-by-Step [StatQuest]

The Chain Rule [StatQuest]

Gradient Boosting Regression Problem [NWT]

Gradient Boosting Classification Problem [NWT]

Gradient Boost Part 1 - Regression Main Ideas [StatQuest]

Gradient Boost Part 3 - Classification [StatQuest]

Performance Evaluation and ROC-AUC [NWT]

The Confusion Matrix [StatQuest]

Sensitivity and Specificity [StatQuest]

ROC and AUC [StatQuest]

PCA Concepts [NWT]

PCA Math [NWT]

The Essential Main Ideas of Neural Networks [StatQuest]

Neural Network Parameter Update with ReLU Function Full (Spring 2026) [NWT]

Neural Network Parameter Update [NWT]

Neural Networks Pt. 2 - Backpropagation Main Ideas [StatQuest]

Backpropagation Details Pt. 1 - Optimizing 3 Parameters Simultaneously [StatQuest]

Backpropagation Details Pt. 2 - Going Bonkers with the Chain Rule [StatQuest]

Neural Networks Pt. 3 - ReLU in Action [StatQuest]

Neural Networks Part 5 - ArgMax and SoftMax [StatQuest]

CNN Part 1 (Spring 2026) [NWT]

CNN - Kernel, Stride, Padding, Pooling, Flatten, Formula [Binod Suman Academy]

What is Convolution Operation in CNN? [Krish Naik]

Padding in Convolutional Neural Network [Krish Naik]

Operation of CNN (CNN vs ANN) [Krish Naik]

Max Pooling Layer in CNN [Krish Naik]

RNN and LSTM (Spring 2026) [NWT]

Recurrent Neural Networks (RNNs) [StatQuest]

LSTM [NWT]

Long Short-Term Memory (LSTM) [StatQuest]

Word Embedding and Word2Vec [StatQuest]

Transformer Full [NWT]

Attention for Neural Networks [StatQuest]

Transformer Neural Networks [StatQuest]