Hector Martinez

Introduction to pandas melt() function In this tutorial, you will learn about the Pandas melt() function, a powerful tool in Python’s Pandas library for reshaping your dataframes. Whether you’re new to data manipulation or looking to enhance your data preparation…

Table of Contents Exploring the Landscape of Machine Learning: Techniques, Applications, and Insights Introduction: The Power of Machine Learning in Modern Industries What Is Machine Learning? Understanding the Core Types of Machine Learning Techniques Supervised Learning: From Basics to Real-World…

Table of Contents Google Gemini 1.5 Review: Million-Token AI Changes Everything What Is a Large Language Model (LLM)? What Is Google Gemini? Google Gemini 1.5 Reaction Splashing Cold Water on Gemini 1.5 Gemini Advanced vs. Gemini 1.0 Pro Gemini Advanced…

Table of Contents Faster R-CNNs Object Detection and Deep Learning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? Why Do We Use Intersection over Union (IoU)? Mean Average Precision (mAP) The (Faster) R-CNN Architecture A Brief History…

Table of Contents Best Machine Learning Datasets Brief Background of Machine Learning Importance and Role of Datasets in Machine Learning Helping You Find the Best Datasets Computer Vision Datasets Object Detection What Is Object Detection Object Detection Datasets Racetrack Personal…

Table of Contents Scaling Kaggle Competitions Using XGBoost: Part 4 What Is XGBoost? Our Dummy Dataset Breaking Down the Math Configuring Your Development Environment Having Problems Configuring Your Development Environment? Applying XGBoost on a Problem Statement Applying XGBoost to Our…

Table of Contents Scaling Kaggle Competitions Using XGBoost: Part 3 Gradient Boost at a Glance AdaBoost vs. Gradient Boosting Gradient Boosting Dissected Configuring Your Development Environment Having Problems Configuring Your Development Environment? Setting Up Our Project Comparing XGboost and Gradient…

Grooming is taking your product’s to-do list of work and transforming it into a product backlog. If you’d like to learn how to groom or refine your backlog so you’re ready for your Sprint, just keep reading. Discover the little…

Table of Contents Scaling Kaggle Competitions Using XGBoost: Part 2 AdaBoost The Dataset Sample Weights Choosing the Right Feature Significance of a Stump Calculating the New Sample Weights Moving Forward: The Subsequent Stumps Piecing It Together Configuring Your Development Environment…