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[PaidCoursesForFree.com] Udemy - MATLAB Master Class Go from Beginner to Expert in MATLAB

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种子名称： [PaidCoursesForFree.com] Udemy - MATLAB Master Class Go from Beginner to Expert in MATLAB
文件类型： 视频
文件数目： 176个文件
文件大小： 9.54 GB
收录时间： 2020-8-25 06:46
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最近下载： 2024-5-26 03:59

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[PaidCoursesForFree.com] Udemy - MATLAB Master Class Go from Beginner to Expert in MATLAB.torrent
  • 1. Course and Instructor Introduction/1. Course Introduction.mp423.48MB
  • 1. Course and Instructor Introduction/2. MATLAB Software (Pricing and Online resources).mp453.65MB
  • 2. ------------ Part 1 MATLAB from Beginer to Advance -----------------/1. MATLAB Graphical User Interface.mp437.14MB
  • 2. ------------ Part 1 MATLAB from Beginer to Advance -----------------/2. Some Common Operations.mp436.65MB
  • 3. Segment 1.1 Handling variables and Creating Scripts/2. Let's lay foundations for understanding Variables.mp446.7MB
  • 3. Segment 1.1 Handling variables and Creating Scripts/3. Different types of variables (Strings, characters and logical).mp454.83MB
  • 3. Segment 1.1 Handling variables and Creating Scripts/4. Creating scripts and understanding commenting and semicolon effect.mp446.09MB
  • 3. Segment 1.1 Handling variables and Creating Scripts/5. Data selection with the colon operator.mp449.67MB
  • 4. Segment 1.2 Doing Basic Maths in MATLAB/2. Basic Maths (addition, multiplication, subtraction and powers).mp446.38MB
  • 4. Segment 1.2 Doing Basic Maths in MATLAB/3. Computing GCD, LCM, Permutations and Prime numbers.mp448.56MB
  • 4. Segment 1.2 Doing Basic Maths in MATLAB/4. Trignometric functions.mp440.91MB
  • 4. Segment 1.2 Doing Basic Maths in MATLAB/5. Set operations (Union, intersection, complement and others).mp440.53MB
  • 4. Segment 1.2 Doing Basic Maths in MATLAB/6. Computing statistics of the matrices.mp466.72MB
  • 4. Segment 1.2 Doing Basic Maths in MATLAB/7. Handling random numbers.mp437.91MB
  • 4. Segment 1.2 Doing Basic Maths in MATLAB/8. Cross product and dot product.mp438.67MB
  • 4. Segment 1.2 Doing Basic Maths in MATLAB/9. Basic logical operation (And, Or and Not).mp437.54MB
  • 4. Segment 1.2 Doing Basic Maths in MATLAB/10. Sign and absolute functions.mp436.69MB
  • 4. Segment 1.2 Doing Basic Maths in MATLAB/11. Converting numbers between different bases.mp446.66MB
  • 4. Segment 1.2 Doing Basic Maths in MATLAB/12. Discretizing your data.mp487.09MB
  • 5. Segment 1.3 Operations on Matrices/2. Computing unique elements.mp469.79MB
  • 5. Segment 1.3 Operations on Matrices/3. Determining membership of elements to a matrix.mp457.44MB
  • 5. Segment 1.3 Operations on Matrices/4. Shifting matrix elements.mp444.06MB
  • 5. Segment 1.3 Operations on Matrices/5. Determinant, inverse and diagnal elements.mp426.74MB
  • 5. Segment 1.3 Operations on Matrices/6. Relational operations.mp468.4MB
  • 5. Segment 1.3 Operations on Matrices/7. Commonly used Matrices.mp424.63MB
  • 5. Segment 1.3 Operations on Matrices/8. Sorting matrix values.mp460.71MB
  • 5. Segment 1.3 Operations on Matrices/9. Size and length functions.mp434.17MB
  • 5. Segment 1.3 Operations on Matrices/10. Concatenating Matrices.mp433.1MB
  • 5. Segment 1.3 Operations on Matrices/11. Finding non-zero elements.mp441.51MB
  • 5. Segment 1.3 Operations on Matrices/12. Frequency of values within a vector.mp446.43MB
  • 6. Segment 1.4 Advance Math Functions with Symbolic Data Type/2. Symbolic variables.mp443.8MB
  • 6. Segment 1.4 Advance Math Functions with Symbolic Data Type/3. Differentiation and Integration using symbolic variables.mp443.54MB
  • 6. Segment 1.4 Advance Math Functions with Symbolic Data Type/4. Solving Equations.mp471.72MB
  • 6. Segment 1.4 Advance Math Functions with Symbolic Data Type/5. Symbolic Functions.mp426.49MB
  • 7. Segment 1.5 Interacting with MATLAB and Graphics/2. Input output commands.mp450.57MB
  • 7. Segment 1.5 Interacting with MATLAB and Graphics/3. More input output commands.mp448.79MB
  • 7. Segment 1.5 Interacting with MATLAB and Graphics/4. Plotting data.mp476.86MB
  • 7. Segment 1.5 Interacting with MATLAB and Graphics/5. Plotting 3-D data.mp435.98MB
  • 7. Segment 1.5 Interacting with MATLAB and Graphics/6. More on plotting options.mp471.75MB
  • 7. Segment 1.5 Interacting with MATLAB and Graphics/7. Bar graphs.mp482.4MB
  • 7. Segment 1.5 Interacting with MATLAB and Graphics/8. Combining plots with hold on.mp442.33MB
  • 7. Segment 1.5 Interacting with MATLAB and Graphics/9. Interacting with the plot using the brush tool.mp455.21MB
  • 7. Segment 1.5 Interacting with MATLAB and Graphics/10. Two y-axis on the same plot.mp439.68MB
  • 7. Segment 1.5 Interacting with MATLAB and Graphics/11. Animated Line.mp440.24MB
  • 7. Segment 1.5 Interacting with MATLAB and Graphics/12. Checking for existence of scripts, files, folders, variables or functions.mp434.91MB
  • 7. Segment 1.5 Interacting with MATLAB and Graphics/13. Manipulating Directory (Part 1).mp478.55MB
  • 7. Segment 1.5 Interacting with MATLAB and Graphics/14. Manipulating Directory (Part 2).mp467.2MB
  • 7. Segment 1.5 Interacting with MATLAB and Graphics/15. Processing text files.mp4116.77MB
  • 8. Segment 1.6 Importing Data into MATLAB/2. Importing data from excel into MATLAB.mp443.25MB
  • 8. Segment 1.6 Importing Data into MATLAB/3. Importing data in different formats (N).mp466.11MB
  • 8. Segment 1.6 Importing Data into MATLAB/4. Spread Sheet link (Introduction and installation).mp453.47MB
  • 8. Segment 1.6 Importing Data into MATLAB/5. Passing data between excel and MATLAB.mp459.82MB
  • 8. Segment 1.6 Importing Data into MATLAB/6. Calling MATLAB functions from Excel.mp461.32MB
  • 9. Segment 1.7 MATLAB Programming/1. Conditional if Statements (Part 1).mp456.17MB
  • 9. Segment 1.7 MATLAB Programming/2. Conditional if statment (Part 2).mp467.87MB
  • 9. Segment 1.7 MATLAB Programming/3. For loops for interating through your code.mp477.9MB
  • 9. Segment 1.7 MATLAB Programming/4. Nested For Loops.mp459.18MB
  • 9. Segment 1.7 MATLAB Programming/5. While loops (when you don't know the number of iterations).mp487.81MB
  • 9. Segment 1.7 MATLAB Programming/6. Breaking out from a loop before final condition.mp447.33MB
  • 9. Segment 1.7 MATLAB Programming/7. Continue statement for skipping an iteration.mp455.6MB
  • 9. Segment 1.7 MATLAB Programming/8. Switch statements for choice selection.mp451.69MB
  • 10. Segment 1.8 Making your own functions/1. Creating Custom built Functions.mp440.47MB
  • 10. Segment 1.8 Making your own functions/2. Functions with inputs.mp443.98MB
  • 10. Segment 1.8 Making your own functions/3. Functions with multiple inputs and outputs.mp450MB
  • 10. Segment 1.8 Making your own functions/4. Returning from a function.mp446.75MB
  • 11. Segment 1.9 Sharing your MATLAB Results/1. Sharing results with automatically generated reports.mp468.19MB
  • 11. Segment 1.9 Sharing your MATLAB Results/2. Sharing your results with live scripts.mp498.29MB
  • 12. ------------ Part 2 Advance MATLAB Data Types ----------------------/1. Introduction to the section.mp45.12MB
  • 13. Segment 2.1 Cell Data Type/1. Creating and defining cells.mp460.51MB
  • 13. Segment 2.1 Cell Data Type/2. Accessing Data in a Cell.mp468.61MB
  • 13. Segment 2.1 Cell Data Type/3. Adding and deleting elements from a cell.mp453.9MB
  • 13. Segment 2.1 Cell Data Type/4. Concatenating cells and passing cell contents to a function.mp460.97MB
  • 14. Segment 2.2 Tables and Time Tables/1. Creating Tables.mp417.26MB
  • 14. Segment 2.2 Tables and Time Tables/2. Adding Descriptions, Units and Accessing individual columns.mp417.72MB
  • 14. Segment 2.2 Tables and Time Tables/3. Selecting and reordering rows.mp410.22MB
  • 14. Segment 2.2 Tables and Time Tables/4. Sorting rows or a table.mp48.18MB
  • 14. Segment 2.2 Tables and Time Tables/5. More properties of a table.mp44.46MB
  • 14. Segment 2.2 Tables and Time Tables/6. Reading and writing tables to memory.mp435.04MB
  • 14. Segment 2.2 Tables and Time Tables/7. Storing summary of a table.mp411.36MB
  • 14. Segment 2.2 Tables and Time Tables/8. Adding and deleting columns from a table.mp48.17MB
  • 14. Segment 2.2 Tables and Time Tables/9. Adding and deleting rows from a table.mp411.82MB
  • 14. Segment 2.2 Tables and Time Tables/10. Creating time tables.mp422.77MB
  • 14. Segment 2.2 Tables and Time Tables/11. Properties, sorting and data selection in time tables.mp416.11MB
  • 14. Segment 2.2 Tables and Time Tables/12. Concatenating time tables.mp419.38MB
  • 14. Segment 2.2 Tables and Time Tables/13. Indexing and retrieving data based on row times.mp45.63MB
  • 14. Segment 2.2 Tables and Time Tables/14. NEW Dealing with missing data.mp418.79MB
  • 15. Segment 2.3 Working with Structures and Map Container Data Type/1. Creating structures.mp413.84MB
  • 15. Segment 2.3 Working with Structures and Map Container Data Type/2. Retrieving data from a field of a structure.mp49.14MB
  • 15. Segment 2.3 Working with Structures and Map Container Data Type/3. Concatenating structures.mp410.16MB
  • 15. Segment 2.3 Working with Structures and Map Container Data Type/4. Storing data from a structure field into a variable.mp410.8MB
  • 15. Segment 2.3 Working with Structures and Map Container Data Type/5. More operations on a structure.mp49.29MB
  • 15. Segment 2.3 Working with Structures and Map Container Data Type/6. Creating Map Containers.mp411.93MB
  • 15. Segment 2.3 Working with Structures and Map Container Data Type/7. Concatenation and more operations on map container.mp419.77MB
  • 16. Segment 2.4 Data Types Conversions/1. Converting other data types to cell.mp424.66MB
  • 16. Segment 2.4 Data Types Conversions/2. Converting Cell to other Data Types.mp425.64MB
  • 16. Segment 2.4 Data Types Conversions/3. Converting from other to table data type.mp48.33MB
  • 16. Segment 2.4 Data Types Conversions/4. Converting from table to other data type.mp411.29MB
  • 17. ----------- Part 3 Machine Learning for Data Science using MATLAB ------------/1. Introduction to the segment.mp410.78MB
  • 18. Segment 3.1 Data Preprocessing/2. Section Introduction.mp410.78MB
  • 18. Segment 3.1 Data Preprocessing/3. Importing the Dataset.mp461.61MB
  • 18. Segment 3.1 Data Preprocessing/4. Removing Missing Data (Part 1).mp474.54MB
  • 18. Segment 3.1 Data Preprocessing/5. Removing Missing Data (Part 2).mp472.3MB
  • 18. Segment 3.1 Data Preprocessing/6. Feature Scaling.mp475.87MB
  • 18. Segment 3.1 Data Preprocessing/7. Handling Outliers (Part 1).mp469.12MB
  • 18. Segment 3.1 Data Preprocessing/8. Handling Outliers (Part 2).mp441.05MB
  • 18. Segment 3.1 Data Preprocessing/9. Dealing with Categorical Data (Part 1).mp481.17MB
  • 18. Segment 3.1 Data Preprocessing/10. Dealing with Categorical Data (Part 2).mp449.82MB
  • 18. Segment 3.1 Data Preprocessing/11. Your Preprocessing Template.mp433.3MB
  • 20. Segment 3.2.1 K-Nearest Neighbor/1. KNN Intuition.mp430.97MB
  • 20. Segment 3.2.1 K-Nearest Neighbor/2. KNN in MATLAB (Part 1).mp4100.35MB
  • 20. Segment 3.2.1 K-Nearest Neighbor/3. KNN in MATLAB (Part 2).mp498.57MB
  • 20. Segment 3.2.1 K-Nearest Neighbor/4. Visualizing the Decision Boundaries of KNN.mp487.55MB
  • 20. Segment 3.2.1 K-Nearest Neighbor/5. Explaining the code for visualization.mp491.4MB
  • 20. Segment 3.2.1 K-Nearest Neighbor/6. Here is our classification template.mp443.3MB
  • 20. Segment 3.2.1 K-Nearest Neighbor/7. How to change default options and customize classifiers.mp457.57MB
  • 20. Segment 3.2.1 K-Nearest Neighbor/8. Customization options for KNN.mp494.94MB
  • 21. Segment 3.2.2 Naive Bayes/1. Naive Bayesain Intuition (Part 1).mp450.75MB
  • 21. Segment 3.2.2 Naive Bayes/2. Naive Bayesain Intuition (Part 2).mp475.12MB
  • 21. Segment 3.2.2 Naive Bayes/3. Naive Bayesain in MATLAB.mp446.63MB
  • 21. Segment 3.2.2 Naive Bayes/4. Customization Options for Naive Bayesain.mp438.22MB
  • 22. Segment 3.2.3 Decision Trees/1. Decision trees intuition.mp446.62MB
  • 22. Segment 3.2.3 Decision Trees/2. Decision Trees in MATLAB.mp446.02MB
  • 22. Segment 3.2.3 Decision Trees/3. Visualizing Decision Trees using the View Function.mp470.47MB
  • 22. Segment 3.2.3 Decision Trees/4. Customization Options for Decision Trees.mp497.74MB
  • 23. Segment 3.2.4 Support Vector Machines/1. SVM Intuition.mp483.31MB
  • 23. Segment 3.2.4 Support Vector Machines/2. Kernel SVM Intuition.mp419.17MB
  • 23. Segment 3.2.4 Support Vector Machines/3. SVM in MATLAB.mp444.74MB
  • 23. Segment 3.2.4 Support Vector Machines/4. Customization Options for SVM.mp497.36MB
  • 24. Segment 3.2.5 Discriminant Analysis/1. Discriminant Analysis Intuition.mp454.2MB
  • 24. Segment 3.2.5 Discriminant Analysis/2. Discriminant Analysis in MATLAB.mp429.85MB
  • 24. Segment 3.2.5 Discriminant Analysis/3. Customization Options for Discriminant Analysis.mp449.59MB
  • 25. Segment 3.2.6 Ensembles/1. Ensembles Intuition.mp449.89MB
  • 25. Segment 3.2.6 Ensembles/2. Ensembles in MATLAB.mp457.38MB
  • 25. Segment 3.2.6 Ensembles/3. Customization options for Ensembles.mp4111.92MB
  • 26. Segment 3.2.7 Performance Evaluation/1. Evaluating Classifiers Confusion matrix (Theory).mp464.52MB
  • 26. Segment 3.2.7 Performance Evaluation/2. Validation Methods (Theory).mp448.77MB
  • 26. Segment 3.2.7 Performance Evaluation/3. Validation methods in MATLAB (Part 1).mp4102.81MB
  • 26. Segment 3.2.7 Performance Evaluation/4. Validation methods in MATLAB (Part 2).mp487.52MB
  • 26. Segment 3.2.7 Performance Evaluation/5. Evaluating Classifiers in MATLAB.mp467.93MB
  • 28. Segment 3.3.1 K-Means/1. K-Means Clustering Intuition.mp440.37MB
  • 28. Segment 3.3.1 K-Means/2. Choosing the number of clusters.mp467.88MB
  • 28. Segment 3.3.1 K-Means/3. k-means in MATLAB (Part 1).mp4110MB
  • 28. Segment 3.3.1 K-Means/4. k-means in MATLAB (Part 2).mp4122.42MB
  • 29. Segment 3.3.2 Hierarchical Clustering/1. Hierarchical Clustering Intuition (Part 1).mp441.5MB
  • 29. Segment 3.3.2 Hierarchical Clustering/2. Hierarchical Clustering in MATLAB.mp459.39MB
  • 29. Segment 3.3.2 Hierarchical Clustering/3. Hierarchical Clustering Intuition (Part 2).mp4145.44MB
  • 30. Segment 3.4 Dimensionality Reduction/2. Principal Component Analysis.mp432.17MB
  • 30. Segment 3.4 Dimensionality Reduction/3. PCA in MATLAB (Part 1).mp4136MB
  • 30. Segment 3.4 Dimensionality Reduction/4. PCA in MATLAB (Part 2).mp4150.44MB
  • 31. Segment 3.5 Project Malware Analysis/2. Problem Discription.mp451.72MB
  • 31. Segment 3.5 Project Malware Analysis/3. Customizing code templates for completing Task 1 and 2 (Part 1).mp476.45MB
  • 31. Segment 3.5 Project Malware Analysis/4. Customizing code templates for completing Task 1 and 2 (Part 2).mp450.82MB
  • 31. Segment 3.5 Project Malware Analysis/5. Customizing code templates for completing Task 3, 4 and 5.mp4171.89MB
  • 32. ------------- Part 4 Data Preprocessing for Machine Learning using MATLAB -----/1. Introduction to course.mp418.02MB
  • 33. Segment 4.1 Handling Missing Values/2. Deletion strategies.mp466.66MB
  • 33. Segment 4.1 Handling Missing Values/3. Using mean and mode.mp477.38MB
  • 33. Segment 4.1 Handling Missing Values/4. Considering as a special value.mp447.53MB
  • 33. Segment 4.1 Handling Missing Values/5. Class specific mean and mode.mp495.11MB
  • 33. Segment 4.1 Handling Missing Values/6. Random Value Imputation.mp4107.42MB
  • 34. Segment 4.2 Dealing with Categorical Variables/2. Categorical data with no order.mp478MB
  • 34. Segment 4.2 Dealing with Categorical Variables/3. Categorical data with order.mp449.33MB
  • 34. Segment 4.2 Dealing with Categorical Variables/4. Frequency based encoding4.mp4111.81MB
  • 34. Segment 4.2 Dealing with Categorical Variables/5. Target based encoding.mp471.45MB
  • 35. Segment 4.3 Outlier Detection/2. 3 sigma rule with deletion strategy.mp470.31MB
  • 35. Segment 4.3 Outlier Detection/3. 3 sigma rule with filling strategy.mp440.51MB
  • 35. Segment 4.3 Outlier Detection/4. Box plots and iterquartile rule.mp422.18MB
  • 35. Segment 4.3 Outlier Detection/5. Class specific box plots.mp4115.71MB
  • 35. Segment 4.3 Outlier Detection/6. Histograms for outliers.mp484.06MB
  • 35. Segment 4.3 Outlier Detection/7. Local Outlier Factor (Part 1).mp419.71MB
  • 35. Segment 4.3 Outlier Detection/8. Local Outlier Factor (Part 2).mp497.89MB
  • 35. Segment 4.3 Outlier Detection/9. Outliers in Categorical Variables.mp458.1MB
  • 36. Segment 4.4 Feature Scaling and Data Discretization/2. Feature Scalling.mp469.25MB
  • 36. Segment 4.4 Feature Scaling and Data Discretization/3. Discretization using Equal width binning.mp4118.49MB
  • 36. Segment 4.4 Feature Scaling and Data Discretization/4. Discretization using Equal Frequency binning.mp461.48MB
  • 37. Segment 4.5 Project Selecting the Right Method for your Data/2. Selecting the right method (Part 1).mp4142.49MB
  • 37. Segment 4.5 Project Selecting the Right Method for your Data/3. Selecting the right method (Part 2).mp4103.19MB



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