Dr. Janibul Bashir

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This channel contains videos from courses taught and lectures delivered by Dr. Janibul Bashir (http://www.janibbashir.com/). Janibul Bashir is an Assistant P...

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Lecture 36 Adaboosting Ensemble Learning Boosting Exponential Loss

Lecture 35 Ensemble Learning Boosting Gradient Boosting

Lecture 34 Ensemble Learning Boosting Sequential Learning Weak Learner

Lecture 33 Ensemble Learning Bagging Pasting Random Forest

Lecture 32 Decision Tree Training Regularization Split Function Threshold Selection

Lecture 31 Decision Tree Loss Regression Loss Gini Impurity Loss Cross Entropy Loss

Lecture 30 Decision Trees Regression Tree Introduction Loss

Lecture 29 Covariance Matrix K Nearest Neighbours Euclidean Distance Mahalanobis Distance

Lecture 28 Data Visualisation Mean Variance Covariance Correlation Geometry of Data

Lecture 27 Activation Functions Sigmoid ReLu Tanh Multi Output Neural Network

Lecture 26 Summary Neural Networks Backpropagation

Lecture 25 Backpropagation Training Neural Networks Gradient Flow Chain Rule

Lecture 24 Neural Networks Part 2 Matrix Formulation Maths

Lecture 23 Introduction Neural Networks From Scratch Feature Generation

Lecture 22 Kernel Trick Polynomial Kernel RBF or Gaussian Kernel Gram Matrix

Lecture 21 Kernels Methods Features Maps

Lecture 20 Limitations of Hard SVM Soft Support Vector Machines Slack Variables Hinge Loss

Lecture 18 Support Vector Machines Introduction Functional Margin

Lecture 19 Support Vector Machines Geometric Margin Loss Limitations of Hard Margin

Lecture 17 L1 and L2 Regularization Ridge Lasso Early Stopping SGD Cross Validation

Lecture 16 Need of Regularization Overfitting Regularized Loss

Lecture 15 Underfitting Overfitting Bias Variance Tradeoff

Lecture 14 Normal Equations Polynomial Regression Underfitting Overfitting

Lecture 12 Linear Regression Curve Fitting Regression Problem Gradient Descent

Lecture 13 Gradient Descent Linear Regression Matrix Formulation Mean Square Error

Lecture 11 ROC Curve Precision Recall Curve Area Under Curve AUC Explanation

Lecture 10 Classification Metrics Recall Precision Confusion Matrix Accuracy

Lecture 8 Multi Class Classification One Vs All Softmax Regression One Hot Vector

Lecture 9 Multi class Loss Cross Entropy Loss Log Likelihood

Lecture 7 Gradient Descent Logistic Regression Contour Plots Cross Entropy Loss