Decision trees are both simple and powerful methods in machine learning. Whether you're looking to diagnose a disease or predict a customer's purchasing behavior, decision trees offer a clear and understandable path. One of the most important parts of these trees is the internal nodes. This term, used in Turkish as "internal node," refers to the way a decision tree processes data […]
Decision trees are both simple and effective algorithms in machine learning. Whether you're predicting product sales or classifying a disease, decision trees offer a clear path. The most important part of these trees is the root node. This term, used in Turkish as "kök node," is the point that initiates the tree's entire decision-making process. In this article, we will […]
Decision trees are one of the most popular tools in machine learning. They're simple, straightforward, and incredibly effective in many fields, including finance, healthcare, and marketing. In this guide, we'll delve into the fundamentals of decision trees, how they work, and how they're implemented in Python. I'll illustrate this powerful algorithm with examples from my own projects. If you're ready, let's get started! Contents Decision Trees […]
Dynamic programming (DP) is an incredibly powerful method for solving complex problems in computer science. It solves large problems by breaking them down into smaller, recursive subproblems, saving time by calculating each subproblem only once and storing the result. It's frequently used in fields like finance, bioinformatics, and optimization. This guide will cover the basics of dynamic programming, how it works, and how to implement it with Python.
Sorting is a cornerstone of computer science. Classic algorithms like Bubble Sort, Quick Sort, and Merge Sort have been optimized and widely used for years. But there's also a more unusual method: the Genetic Algorithm. Inspired by natural selection and evolution, we'll explore this innovative approach to sorting lists. In this article, we'll cover the basics of the genetic algorithm, how it works, and how to use it with Python […]
In the world of graph theory and algorithms, Depth-First Search (DFS) is a fundamental and versatile tool. Used to explore and scan graph data structures, this algorithm is indispensable in many areas, including pathfinding, cycle detection, and topological sorting. In this guide, we'll delve into the fundamentals of DFS, its applications, and practical examples with Python. Using examples from my own experience, I'll help you […]
