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تحميل Machine Classification Algorithms

Programming 2022-03-03

روابط التحميل

لمشاهدة الكورس مباشر بدون تحميل اضغط هنا

عدد الدروس 50

قسم Programming

Applications of Machine Learning

Why use MATLAB for Machine Learning

Meet Your Instructor

Course Outlines

MATLAB GUI

Some common Operations

Data Types that We May Encounter

Grabbing a dataset

Importing Data into MATLAB

Understanding the Table Data Type

Nearest Neighbor Intuition

Nearest Neighbor in MATLAB

Learning KNN model with features subset and with non numeric data

Dealing with scalling issue and copying a learned model 4

Types of Properties 5

Building a model with subset of classes missing values and instances weights 6

Properties of KNN

Intuition of Naive Bayesain Classification

Naive Bayes in MATLAB

Building a model with categorical data

A Final note on Naive Bayesain Model

Intuition of Decision Trees

Decision Trees in MATLAB

Properties of the Decision Trees

Node Related Properties of Decision Trees

Properties at the Classifer Built Time

Intuition of Discriminant Analysis

Discriminant Analysis in MATLAB

Properties of the Discriminant Analysis Learned Model in MATLAB

Intuition of SVM Classification

SVM in MATLAB

Properties of SVM learned model in MATLAB

Intuition of ECOC

ECOC in Matlab

ECOC name value arguemnts

Properties of ECOC model

Ensembles in MATLAB

Properties of Ensembles

Cross validition options Part 1

Cross validition options Part 2

Making Predictions with the Models

Determining the classification loss

Classification Margins and Edge

Classification Loss Margins Predictions and Edge for cross validated models

Comparing two classifiers with holdout

Computing Confusion Matrix

Generating ROC Curve

Generating ROC Curve based on the testing data

More Customization and information while generating ROC

Computing Accuracy Error Rate Specificity and Sensitivity 10

Programming
2022-03-03