Interpreting Categorical Data Classifiers using Explanation-based Locality
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Updated
Feb 11, 2023 - JavaScript
Interpreting Categorical Data Classifiers using Explanation-based Locality
Scikit-klearn compatible BinaryEncoder class capable of handling unseen categories in an automated fashion
The project is to show complete exploration to understand the categorical data, technique of handing categorical variables and after it I will build a Machine Learning Model.
Implementation of the Entity Embedding Encoder
A simplified algorithm to cluster mixed-type data(numerical and categorical).
This repo contains code, a presentation, and a project report regarding suicide rates in the US from 1985 - 2015
This is me learning how to quickly improve the quality of my models.
Machine Learning Models for Absenteeism at Work Dataset
FuzzykCenters algorithms for fuzzy clustering categorical data
Galvanize Capstone Project: Gender vs Phobias - The objective of this capstone is to see if a person's gender has a statistical significance on their phobias. This is accomplished using Chi-Squared Hypothesis Testing.
complete case analysis drops the whole column if there are missing values, arbitrary value imputation in this we can use replace (mean or median) with -1 or 99.999, end of the distribution it replaces the values with "missing" term
Usage of AutoML library like H2O.ai to create predictive models and interpret them. Found a significant relation for each algorithm in the data. Created multivariate models.
All about emotion recognition.
This is a Shiny App created with the data of climacteric stations in Ottawa, Canada. It helps understand the time series of data recorded and obtain final predictions from some statistical models. Correlation as well can be achieved based also on monthly categories.
Final project program DBA mitra Ruangguru X Studi Independen Bersertifikat Kampus Merdeka batch 2
Life expectancy data processing
Kaggle Titanic Competition
Summarized categorical variables in Python using numerical summary statistics.
Dealing with categorial data: CATCODE simple fuction to label encoding with Excel
Naive Bayes Classifier for categorical and/or numeric features.
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