Multi-Class Classification Model for Faulty Steel Plates Using R

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Dataset Used: Faulty Steel Plates Dataset ML Model: Multi-Class classification with numerical attributes Dataset Reference: http://archive.ics.uci.edu/ml/datasets/steel+plates+faults One potential source of performance benchmarks: https://www.kaggle.com/uciml/faulty-steel-plates INTRODUCTION: This dataset comes from research by Semeion, Research Center of Sciences of Communication. The original… Read More

Classification Model for Faulty Steel Plates Using Python

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Dataset Used: Faulty Steel Plates Dataset ML Model: Multi-Class classification with numerical attributes Dataset Reference: http://archive.ics.uci.edu/ml/datasets/steel+plates+faults One potential source of performance benchmarks: https://www.kaggle.com/uciml/faulty-steel-plates INTRODUCTION: This dataset comes from research by Semeion, Research Center of Sciences of Communication. The original… Read More

Binary Classification Model for Edible Mushrooms Using Python

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Dataset Used: Mushroom Data Set Dataset ML Model: Binary classification with categorical attributes Dataset Reference: https://archive.ics.uci.edu/ml/datasets/Mushroom One potential source of performance benchmarks: https://www.kaggle.com/uciml/mushroom-classification INTRODUCTION: This data set includes descriptions of hypothetical samples corresponding to 23 species of gilled mushrooms… Read More

Binary Classification Model for Edible Mushrooms Using R

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Dataset Used: Mushroom Data Set Dataset ML Model: Binary classification with categorical attributes Dataset Reference: https://archive.ics.uci.edu/ml/datasets/Mushroom One potential source of performance benchmarks: https://www.kaggle.com/uciml/mushroom-classification INTRODUCTION: This data set includes descriptions of hypothetical samples corresponding to 23 species of gilled mushrooms… Read More