Master Generative AI with 10+ Real-world Projects in 2025!
In this article, let's try to gain an intuition behind the bias variance trade-off and understand how it solves one of the key problems in ML
AI as a powerful marketing tool. Not only does it help in better marketing but it is also pivotal in marketing analytics and decision making
Gini impurity is the most popular splitting algorithms in decision trees. Learn properties of gini impurity and steps to calculate it. Read Now!
In this article, we'll introduce you to various common terminologies used in the machine learning and artificial intelligence industry.
This article discusses Machine Learning in Geographic Information System GIS, in other words, Machine Learning for spatial data analysis.
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Gaussian Naive Bayes is one of the most widely used machine learning algorithms by the data science community. Lets understand it.
K-fold cross-validation is one of the most commonly used model evaluation methods. This is a beginners guide to K-fold cross validation in R
Feature selection techniques for training a robust ML model. In this article we will learn about 7 feature selection techniques
Human intelligence vs artificial intelligence! Let’s go through the history of humankind and collect shreds of evidence on the impact of AI
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