Binary Classification Model for Census Income Using Python Take 2

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The Census Income dataset is a classic binary classification situation where we are… Read More

Binary Classification Model for Census Income Using Python Take 1

  Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The Census Income dataset is a classic binary classification situation where we… Read More

Multi-Class Classification Model for Wine Quality Using R

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The Wine Quality dataset is a multi-class classification situation where we are trying… Read More

Multi-Class Classification Model for Wine Quality Using Python

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a prediction model using various machine learning algorithms and to document the end-to-end steps using a template. The Wine Quality dataset is a multi-class classification situation where we are trying… Read More

Regression Model for Wine Quality Using Python Take 3

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Dataset Used: Wine Quality Data Set Dataset ML Model: Regression with numerical attributes Dataset Reference: https://archive.ics.uci.edu/ml/datasets/wine+quality One potential source of performance benchmarks: https://www.kaggle.com/uciml/red-wine-quality-cortez-et-al-2009 INTRODUCTION: The two datasets are related to red and white variants of the Portuguese “Vinho Verde”… Read More

Regression Model for Wine Quality Using Python Take 2

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Dataset Used: Wine Quality Data Set Dataset ML Model: Regression with numerical attributes Dataset Reference: https://archive.ics.uci.edu/ml/datasets/wine+quality One potential source of performance benchmarks: https://www.kaggle.com/uciml/red-wine-quality-cortez-et-al-2009 INTRODUCTION: The two datasets are related to red and white variants of the Portuguese “Vinho Verde”… Read More

Regression Model for Wine Quality Using Python Take 1

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Dataset Used: Wine Quality Data Set Dataset ML Model: Regression with numerical attributes Dataset Reference: https://archive.ics.uci.edu/ml/datasets/wine+quality One potential source of performance benchmarks: https://www.kaggle.com/uciml/red-wine-quality-cortez-et-al-2009 INTRODUCTION: The two datasets are related to red and white variants of the Portuguese “Vinho Verde”… Read More

Binary Classification Model for Credit Card Default Using R Take 2

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Dataset Used: Default of Credit Card Clients Data Set Dataset ML Model: Binary classification with numerical attributes Dataset Reference: https://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients One potential source of performance benchmark: https://www.kaggle.com/uciml/default-of-credit-card-clients-dataset INTRODUCTION: This dataset contains information on default payments, demographic factors, credit data,… Read More

Binary Classification Model for Credit Card Default Using R Take 1

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. Dataset Used: Default of Credit Card Clients Data Set Dataset ML Model: Binary classification with numerical attributes Dataset Reference: https://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients One potential source of performance benchmark: https://www.kaggle.com/uciml/default-of-credit-card-clients-dataset INTRODUCTION: This dataset contains information on default payments, demographic factors, credit data,… Read More