Archives for decision trees

22 Mar

A guide to explaining feature importance in neural networks using SHAP

SHAP values (SHapley Additive exPlanations) is an awesome tool to understand your complex Neural network models and other machine learning models such as Decision trees, Random forest.

18 Mar

Understanding the maths behind the Gini impurity method for decision tree split

Waqqas Ansari decision tree

Gini impurity is an important measure used to construct the decision trees.

21 Feb

Top resources to learn decision trees in 2022

Avi Gopani decision trees

Decision trees can handle continuous and categorical variables.

16 Sep

Social Media Rumours: Can ML Help?

Dr. Nivash Jeevanandam communication protocols

A robust machine learning model is required to detect rumours on social media.

16 Sep

Social Media Rumours: Can ML Help?

Dr. Nivash Jeevanandam communication protocols

A robust machine learning model is required to detect rumours on social media.

20 Jun

Guide To XBNet: An Extremely Boosted Neural Network

Vijaysinh Lendave decision trees

A few days back, a naval architecture was launched, ‘XBNet’, which stands for ‘Extremely Boosted Neural Network’, which combines gradient boosted tree with a feed-forward neural network, making the model robust for all performance metrics.

The post Guide To XBNet: An Extremely Boosted Neural Network appeared first on Analytics India Magazine.

24 Oct

Complete Guide To XGBoost With Implementation In R

Ankit Das decision tree learning

In recent times, ensemble techniques have become popular among data scientists and enthusiasts. Until now Random Forest and Gradient Boosting algorithms were winning the data science competitions and hackathons, over the period of the last few years XGBoost has been performing better than other algorithms on problems involving structured data. Apart from its performance, XGBoost is also recognized for its speed, accuracy and scale. XGBoost is developed on the framework of Gradient Boosting.

The post Complete Guide To XGBoost With Implementation In R appeared first on Analytics India Magazine.

19 Sep

How Apache Spark Became Essential For Machine Learning

Disha Misal analytics

Why Apache Spark? Many processes in machine learning are computationally heavy. Distributing these processes via Apache Spark is the easiest, fastest and most efficient way. In industrial applications there is a need for an engine which is powerful enough to process data in real time and can perform in batch mode, as well as an […]

The post How Apache Spark Became Essential For Machine Learning appeared first on Analytics India Magazine.

11 Sep

A Beautiful Mind: How ML Algorithms Can Help Create Psychiatric Applications

Disha Misal decision trees

Machine learning has already made its way into clinical research and is now slowly trying to make an impact in the field of psychiatry. Here, ML algorithms are being used to analyse the psychological traits of the patients. In ML psychiatry, different algorithms are being used for tasks like classification, regression, clustering and modelling the […]

The post A Beautiful Mind: How ML Algorithms Can Help Create Psychiatric Applications appeared first on Analytics India Magazine.