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Data Preprocessing for Machine Learning using MATLAB
Introduction to course and MATLAB
1 - Intorduction to Course
2 - Introduction to matlab
3 - Importing the dataset into MATLAB
Handling Missing Values
Code and Data
1 - Deletion Strategies
2 - Using mean and mode
3 - Adding_Special_Value
4 - class_specific_mode_mean
5 - Random_Value_Imputation
Dealing with Categorical Variables
Code and Data
2 - Categorical data with order
1 - Categorical data with no order
3 - Frequency_encoding
4 - Target_based_Encoding
Outlier Detection
Code and Data
1 - 3 sigma rule with deletion strategy
2 - 3 sigma rule with filling strategy
3 - Histograms for outliers
4 - Box Plots (Part 1)
5 - Box Plots (Part 2
6 - LOF (Part 1)
7 - LOF (Part 2)
8 - Outliers in categorical variables
Feature Scaling and Data Discretization
Code and Data
1 - Feature Scalling
2 - Equal Width Binning
3 - Equal Frequency Binning
Project: Selecting the Right Method for your Data
Code and Data
Selecting the right method (Part 1)
Selecting the right method (Part 2)
3 - Histograms for outliers
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