Video: .MP4, 1280×720 | Audio: AAC, 44 kHz, 2ch | Duration: 25hGenre: eLearning | Language: English | Size: 10 GBMATLAB from beginner to advance level with Advanced Data Types and Applications from Data Science and Data preprocessingWhat you’ll learnDevelop beginer 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 container.
Gain Hands-On experience with MATLAB for visualizing, analyzing and formulating intermediate and some advanced level problems using MATLAB programming skillsExperience some real world applications of MATLAB in solving Data Science problems.
Basic Course DescriptionMATLAB (matrix laboratory) is one of the fundamental and leading programming language and is a must learn skill for anyone who want to develop a career in engineering, science or related fields.
Excellent MATLAB programming skills is therefore a crucial factor in making or breaking your career.
This course is designed from a 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, advance 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 Beginer to AdvanceSegment 1.1: Handling variables and Creating ScriptsSegment 1.2: Doing Basic Maths in MATLABSegment 1.3: Operations on MatricesSegment 1.4: Advance Math Functions with Symbolic Data TypeSegment 1.5: Interacting with MATLAB and GraphicsSegment 1.6: Importing Data into MATLABSegment 1.7: File Handling and Text ProcessingSegment 1.8: MATLAB ProgrammingSegment 1.9: Sharing Your MATLAB ResultsPart 2: Advance MATLAB Data TypesSegment 2.1: Cell Data TypeSegment 2.2: Tables and Time TablesSegment 2.3: Working with Structures and Map Container Data TypeSegment 2.4: Converting between Different Data TypesPart 3: Machine Learning for Data Science Using MATLABSegment 3.1 Data PreprocessingSegment 3.2. ClassificationSegment 3.2.1 K-Nearest NeighborSegment 3.2.2 Naive BayesSegment 3.2.3 Decision TreesSegment 3.2.4 Support Vector MachineSegment 3.2.5 Discriminant AnalysisSegment 3.2.6 EnsemblesSegment 3.2.7 Performance EvaluationSegment 3.3 ClusteringSegment 3.3.1 K-MeansSegment 3.3.2 Hierarchical Clu steringSegment 3.4 Dimensionality ReductionSegment 3.5 ProjectPart 4: Data Preprocessing for Machine Learning using MATLABSegment 4.1 Handing Missing ValuesSegment 4.2 Dealing with Categorical VariablesSegment 4.3 Outlier DetectionSegment 4.4 Feature Scaling and Data DiscretizationSegment 4.5 Selecting the Right Method for your DataWho this course is for:Anyone looking to build a strong career in science or engineering through Excellent MATLAB coding skillsAnyone wanting to advance their skills of real world problem solving with MATLAB based scientific computing
