7 - LOF (Part 2) | StackSkills

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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)

7 - LOF (Part 2)

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