# tree

## Bagging and Random Forest for Imbalanced Classification

Bagging is an ensemble algorithm that fits multiple models on different subsets of a training dataset, then combines the predictions…

## Cost-Sensitive Decision Trees for Imbalanced Classification

The decision tree algorithm is effective for balanced classification, although it does not perform well on imbalanced datasets. The split…

## Decision Tree Classification

And the leaves represent outcomes like either ‘fit’, or ‘unfit’. There are two main types of Decision Trees:Classification Trees. Regression…

## Random Forest regression model Advanced Topics (+ Python code snippet using Sklearn)

Random Forest regression model Advanced Topics (+ Python code snippet using Sklearn)Georgios DrakosBlockedUnblockFollowFollowingJun 6In my previous article, I presented the Random…

## Random Forest Regression model explained in depth

Random Forest Regression model explained in depthGeorgios DrakosBlockedUnblockFollowFollowingJun 3In my previous article, I presented the Decision Tree Regressor algorithm. If you…

## Understanding Random Forest

Photo by Skitterphoto from PexelsUnderstanding Random ForestHow the Algorithm Works and Why it Is So EffectiveTony YiuBlockedUnblockFollowFollowingJun 12A big part of machine…

## Decision Tree Regressor explained in depth

Decision Tree Regressor explained in depthGeorgios DrakosBlockedUnblockFollowFollowingMay 22Decision Tree algorithm has become one of the most used machine learning algorithm both…

## From Zero to Hero in XGBoost Tuning

From Zero to Hero in XGBoost TuningA walk through some of the most common (and not so common too!) hyperparameters of XGBoostFlorencia…

## The Binary Extremes of Daenerys Targaryen

Binary trees are fairly straightforward to explain. Computer science trees are made up of two types of parts: nodes (you…

## Classification and Regression Analysis with Decision Trees

and splits into the child nodes Stay in and Outlook based on whether or not there is work to do.…

## 142 Resources for Mastering Coding Interviews

Take a moment and rate yourself on these classics. We have been asked most of these at some point in…

## An intro to Redux and how state is updated in a Redux application

An intro to Redux and how state is updated in a Redux applicationSyeda Aimen BatoolBlockedUnblockFollowFollowingMay 7Photo by Fabian Grohs on UnsplashI…

## A gentle guide into Decision Trees with Python

This is based on his/her history and other measures. Which drug is best for a particular patient. Is a cancerous…

Kubernetes on TV: Watch How Your Services are Operating in ProductionRodrigue ChakodeBlockedUnblockFollowFollowingApr 22In this story we’ll show a way to…

## Recreating the Twenty Questions Game in Java

Recreating the Twenty Questions Game in JavaSylvain SaurelBlockedUnblockFollowFollowingApr 12Originated in the United States and played widely in the 19th century, Twenty…

## Random Forests for Complete Beginners

We try every possible split for the 6 datapoints we have and realize that y=2 is the best split. We…

## Boosting your way to the top with XGBoost ????

Boosting your way to the top with XGBoost ????A digestible paper review of XGBoostSteven LiuBlockedUnblockFollowFollowingApr 3XGBoost was used in the winning solution…

## Decision Tree for Better Usage

The answer is ‘it depends’. We should rather focus on how they are different. From Introduction to Data MiningWe learnt that…

## Machine Learning Algorithms In Layman’s Terms, Part 2

If we could measure the room’s entropy now, it would be pretty low (and its information gain would be high).…

## Tree-Based Methods: Classification

Tree-Based Methods: ClassificationKushal ValaBlockedUnblockFollowFollowingMar 22The article is based on the Classification task by Decision Tree Algorithm, which is used more…

## Tree-Based Methods: Regression Trees

Tree-Based Methods: Regression TreesKushal ValaBlockedUnblockFollowFollowingMar 18This article gives a detailed review of the Decision Tree Algorithm used for Regression task-setting.…

## Data Science Case Study: Optimizing Product Placement in Retail (Part 2)

If we wanted to strengthen our position within a market we could make such a move and moreover design our…

## Understanding Decision Trees (once and for all!) ????

????This plot on the left is the same as the previous one but with the first decision boundary of the…

## How to Visualize a Decision Tree from a Random Forest in Python using Scikit-Learn

How to Visualize a Decision Tree from a Random Forest in Python using Scikit-LearnA helpful utility for understanding your modelWill KoehrsenBlockedUnblockFollowFollowingAug…

## Dealing with Categorical Data fast — an example

Dealing with Categorical Data fast — an exampleSamir GadkariBlockedUnblockFollowFollowingFeb 7You’re in the office at 9 AM. Your boss comes in, gives you some…