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Johdam

Adekunle Joseph Damilare

Recently Published

Iterative Dichotomizer 3 (ID3) Algorithm Classifier
terative Dichotomiser 3 (ID3) is a popular algorithm used to generate decision trees. ID3 (Iterative Dichotomiser 3) is an algorithm used to create a decision tree, which is a predictive model used in machine learning and statistics. ID3 is particularly suited for classification problems where the target variable is categorical. Developed by Ross Quinlan, ID3 constructs decision trees using a top-down, greedy approach, selecting the attribute that maximizes information gain at each step.
Week of Supply Projection
The project focuses on developing predictive models for estimating the Week of Supply (WOS) based on Average Sales data. A variety of statistical techniques were explored, including linear regression, transformations of variables, and machine learning models such as Random Forest and Classification and Regression Trees (CART). These methods aim to enhance prediction accuracy and provide a robust solution for managing product distribution based on historical sales data.
Supersport
Exploring the Application of Naive Bayes Algorithm Classifier: Theory, Implementation, and Evaluation in Solving the Airline Prediction Problem
Exploring the Application of Naive Bayes Algorithm Classifier: Theory, Implementation, and Evaluation in Solving the Airline Prediction Problem
Machine Learning: Least Absolute Shrinkage and Selection Operator (LASSO) For Penalizing a Logistic Regression Model
Lasso regression, short for "Least Absolute Shrinkage and Selection Operator," is a linear regression technique used for variable selection and regularization. It adds a penalty term to the standard linear regression objective function, which is the sum of squared residuals. This penalty term is the absolute value of the coefficients (L1 norm) multiplied by a tuning parameter lambda (λ). In this project. I demonstrated how this could be done in R.
Happiness prediction
Fish Aggressiveness prediction project
The project seeks to examine differences in fish aggression levels between two groups in different tanks, establish prediction models for categorizing fish characteristics in different tanks, and evaluate the effects of treatment conditions on fish behavior and physical growth.
System Usability test
SUS score in R
Chaid
Chi-square automatic iterative decision
Decision tree regression model
1 = Standard Length Clarias gariepinus in different tanks across weeks 2 =Total length of Clarias gariepinus in the different tanks across the week 3 = Weight of Clarias gariepinus in the tank across weeks., 4 = Aggressive behaviour of Clarias gariepinus across the week
Healthcare status prediction: A Supervised machine learning approach
In healthcare, the development of a model with precise capabilities to identify risk conditions for specific diseases holds significant potential for influencing decisions about patient care.
Healthcare status prediction: A Supervised machine learning approach
In healthcare, the development of a model with precise capabilities to identify risk conditions for specific diseases holds significant potential for influencing decisions about patient care.