Rafik Bouguelia

Lecture 1 (Part 1) Introduction - Machine Learning Course

Lecture 1 (Part 2) - Basics of Machine Learning and Prerequisites - Machine Learning Course

Lecture 2 (Part 1) - Linear Regression - Machine Learning Course

Lecture 2 (Part 2) - Nonlinear Regression (with Kernels, kNN, Features) - Machine Learning Course

Lecture 2 (Part 3) - Questions and Answers (Quiz) - Machine Learning Course

Lecture 3 (Part 1) - Linear Classification with Logistic Regression - Machine Learning Course

Lecture 3 (Part 2) - Logistic Regression with Nonlinear Features - Machine Learning Course

Lecture 3 (Part 3) - k Nearest Neighbors Classifier kNN - Machine Learning Course

Lecture 4 (Part 1) - Decision Tree and Random Forest and Regression Tree - Machine Learning Course

Lecture 4 (Part 2) - Questions and Answers (Quiz) - Machine Learning Course

Lecture 5 - Overfitting, underfitting, Generalization and Regularization - Machine Learning Course

Lecture 6 (Part 1) - Support Vector Machine (SVM) and Kernel Trick - Machine Learning Course

Login to a remote server using SSH, and file transfer using SCP and SFTP - Linux Course

Compression with gzip bzip2 zip and Decompression with gunzip bunzip2 unzip - Linux Course

1 - Format of Commands - Linux Course

4 - man Pages to get Help - Linux Course

2 - Shell Variables and Aliases - Linux Course

3 - Globbing, Quoting, and Control Statements - Linux Course

7 - Hard Links and Soft Links (or Symbolic Links) - Linux Course

Pipes and Pipelines, combining multiple commands - Linux Course

Input and Output Redirections (STDIN, STDOUT, STDERR) - Linux Course

6 - Copying, Moving, Removing, Creating Files and Directories - Linux Course