Binary Classification Model for Customer Transaction Prediction Using Python (Gradient Boosting with SMOTE)

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 Santander Bank Customer Transaction Prediction competition is a binary classification situation where… Read More

Binary Classification Model for Customer Transaction Prediction Using Python (Balanced Bagging)

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 Santander Bank Customer Transaction Prediction competition is a binary classification situation where… Read More

Binary Classification Model for Customer Transaction Prediction Using Python (Balanced Boosting)

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 Santander Bank Customer Transaction Prediction competition is a binary classification situation where… Read More

Binary Classification Model for Customer Transaction Prediction Using Python (Balanced Random Forest)

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 Santander Bank Customer Transaction Prediction competition is a binary classification situation where… Read More

Kaggle Competition: Banco Santander Customer Transaction Prediction Update 2

If you are new to Python machine learning like me, you might find the current Kaggle competition “Santander Customer Transaction Prediction” interesting. The competition is essentially a binary classification problem with a decently large dataset (200 attributes and 200,000 rows of training data). I have not participated in Kaggle competition before and will use this… Read More