Building a Travel Assistant Expert System Using Prolog Programming Language: https://youtu.be/Zu0zHMEoKSw

​Introduction to Propositional Logic in AI: https://youtu.be/sRFQMDbv1tI

​Example: Implementation of Propositional Logic in Prolog Programming Language: https://youtu.be/5c_GU68tePI

​Fundamentals of Decision Tree Part-1: https://youtu.be/RanPvODUMhA

Decision Tree Part-2 : https://youtu.be/RchyXfi-I0k

Decision Tree- Entropy and Gini Impurity: https://youtu.be/4XXpZNdES6o

Decision Tree- Information Gain: https://youtu.be/zCmimEidnjg

Introduction to Ensemble Learning Part-1: https://youtu.be/Vi4sod6B1-k

Ensemble Learning Part-2 (Bagging): https://youtu.be/5034N1ueSi8

​Ensemble Learning Part-3 (Boosting and Stacking): https://youtu.be/wzZCoD7KKOI

Ensemble Learning : Random Forest: https://youtu.be/leCQ6jBfhE8

Post Prunning and Pre Prunning in Decision Tree: https://youtu.be/vhkdsNgQXwk

Decision Tree: Post Prunning and Pre Prunning Implementation In Python: https://youtu.be/rFucckkq4SM

K-Nearest Neighbor (KNN) Algorithm: https://youtu.be/IyC7IYUT_gI

Support Vector Machine (SVM): https://youtu.be/tLdxHx5Sx0o

Bayes’ Theorem & Conditional Probability: https://youtu.be/BeB5UmBgmpk

Naïve Bayes Classifier: https://youtu.be/DppZLtppD7E

Evaluation Metrics: Machine Learning: https://youtu.be/otKl1aEMHKY