IMPORTANT NOTE (09/21/2017): This GitHub repository contains the code examples of the 1st Edition of Python Machine Learning book. If you are looking for the code examples of the 2nd Edition, please ...

Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that answer questions, diagnose diseases, recommend music and ...

Arthur Pinkasovitch, CFA, has worked 5+ years as a financial analyst. He is an associate director at ATB Financial. David Kindness is a Certified Public Accountant (CPA) and an expert in the fields of ...

treeplot is Python package to easily plot the tree derived from models such as decisiontrees, randomforest and xgboost. Developing explainable machine learning models is becoming more important in ...

Abstract: Class imbalance poses a critical challenge in binary classification problems, particularly when rare but significant events are underrepresented in the training set. While traditional ...

As part of my internship at Prodigy InfoTech, I completed Task 3, which involved an exciting project to analyze Bank Marketing data. In today's competitive business environment, understanding customer ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Random Forest is a machine learning algorithm that excels at classification and regression tasks by building multiple decision trees and combining their outputs. In marketing, Random Forests can be ...

Abstract: A river tries to maintain a dynamic equilibrium state by adjusting different controlling factors. A significant change in one of the controlling factors will dictate modifications in the ...

The Internet of Things (IoT) is widely used in our daily lives. Electronic devices had to be connected to the Internet to support monitoring and management. Artificial intelligence (AI) algorithms ...