Udemy - MATLAB Master Class: Go From Beginner To Expert In MATLAB...

 MATLAB from beginner to advance level with Advanced Data Types and Applications from Data Science and Data preprocessing  What you’ll learn   * Develop beginner to advance level skills of Programming with MATLAB. This is the only course which enables you to learn intermediate and advance programming data structures such as structures, tables, times tables, cells and map containers.  * Gain Hands-On experience with MATLAB for visualizing, analyzing and formulating intermediate and some advanced level problems using MATLAB programming skills  * Experience some real-world applications of MATLAB in solving Data Science problems. Requirements   * We cover everything from scratch and therefore do not require any prior knowledge of MATLAB  * The installation of MATLAB software on your machine is a must for this course so that you are able to run the commands and scripts that we cover during the course. If you do not have the MATLAB software installed then you may consider the following options  * 1. You may download a free trail copy of the software from the MATH WORK website. This is for limited time use  * 2. If you are a student or employee, you may contact your School or employer for a free copy. Many universities offer a free student version of the software  * 3. You may consider downloading the Octave which is free and has nearly identical functionality as that of MATLAB. (I would not recommend this option since you may not be able to have access to all the functions that we cover in this course)  * 4. If none of the above works for you, then you may purchase the student version directly from Mathworks website which is significantly lower in cost compared to its full version Description  Basic Course Description  MATLAB (matrix laboratory) is one of the fundamental and leading programming languages and is a must-learn skill for anyone who wants to develop a career in engineering, science or related fields. Excellent MATLAB programming skills are, therefore, a crucial factor in making or breaking your career. This course is designed from the perspective of a student who has no prior knowledge of MATLAB. The course starts from the very basic concepts and then built on top of those basic concepts and move towards more advanced topics such as visualization, exporting and importing of data, advanced data types and data structures and advance programming constructs. To get the real feel of MATLAB in solving and analyzing real-life problems, the course includes machine learning topics in data science and data preprocessing. The course is fun and exciting, but at the same time, we dive deep into MATLAB to uncover its power of formulating and analyzing real-life problems. The course is structured into four different parts. Below is the detailed outline of this course. Part 1: MATLAB from Beginner to Advance  Segment 1.1: Handling variables and Creating Scripts Segment 1.2: Doing Basic Maths in MATLAB Segment 1.3: Operations on Matrices Segment 1.4: Advance Math Functions with Symbolic Data Type Segment 1.5: Interacting with MATLAB and Graphics Segment 1.6: Importing Data into MATLAB Segment 1.7: File Handling and Text Processing Segment 1.8: MATLAB Programming Segment 1.9: Sharing Your MATLAB Results Part 2: Advance MATLAB Data Types  Segment 2.1: Cell Data Type Segment 2.2: Tables and Time Tables Segment 2.3: Working with Structures and Map Container Data Type Segment 2.4: Converting between Different Data Types Part 3: Machine Learning for Data Science Using MATLAB  Segment 3.1 Data Preprocessing Segment 3.2. Classification Segment 3.2.1 K-Nearest Neighbor Segment 3.2.2 Naive Bayes Segment 3.2.3 Decision Trees Segment 3.2.4 Support Vector Machine Segment 3.2.5 Discriminant Analysis Segment 3.2.6 Ensembles Segment 3.2.7 Performance Evaluation Segment 3.3 Clustering Segment 3.3.1 K-Means Segment 3.3.2 Hierarchical Clustering Segment 3.4 Dimensionality Reduction Segment 3.5 Project Part 4: Data Preprocessing for Machine Learning using MATLAB  Segment 4.1 Handling Missing Values Segment 4.2 Dealing with Categorical Variables Segment 4.3 Outlier Detection Segment 4.4 Feature Scaling and Data Discretization Segment 4.5 Selecting the Right Method for your Data Who this course is for:   * Anyone looking to build a strong career in science or engineering through Excellent MATLAB coding skills  * Anyone wanting to advance their skills of real-world problem solving with MATLAB based scientific computing Source: PaidCoursesForFree.com