Indiatimes

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Muskaan Mukherjee is a student. Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as ...

Choosing your first machine learning book with the Python Machine Learning Start Book

When you stand in the machine learning section of a bookstore, you are met with specialized books full of mathematical ...

Trying out machine learning using scikit-learn and the Palmer Penguins dataset

IntroductionTo practice and master the machine learning I learned in class, I challenged myself to perform classification ...
techtarget

What is data preprocessing? Key steps and techniques

Data preprocessing, a component of data preparation, describes any type of processing performed on raw data to prepare it for another data processing procedure. It has traditionally been an important ...
BIOENGINEER

Kernel-Tuned Machine Learning Pushes Network Intrusion Detection Toward 99% Accuracy on Benchmark Data

A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic ...
GitHub

Titanic Survival Prediction — End-to-End Machine Learning

This project develops and evaluates machine learning models to predict passenger survival aboard the RMS Titanic using the Kaggle Titanic: Machine Learning from Disaster dataset. The project follows ...