Inductive Logic Programming
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Inductive Logic Programming (ILP) is a subfield of machine learning and artificial intelligence that combines concepts from both logic programming…
Understanding Precision and Recall
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Precision and recall are two fundamental metrics used to evaluate the performance of classification models in machine learning and deep…
Understanding Overfitting in Machine Learning
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Overfitting is a common problem in machine learning and deep learning where a model learns the training data too well,…
Introduction to Cross Validation
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Cross-validation is a crucial technique in machine learning for evaluating the performance of a predictive model. It involves partitioning the…
Random Forest vs Decision Trees
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If you are new to machine learning, you may have come across the terms random forest classifier and decision trees…
Machine Learning vs Deep Learning
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Machine learning and deep learning are both subfields of artificial intelligence (AI) that involve training algorithms to learn patterns and…
Understanding Unsupervised Machine Learning Concepts
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What is unsupervised machine learning?
Unsupervised machine learning is a type of machine learning where the model is trained on…
Understanding Supervised Machine Learning Concepts
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In this article, learn what is of supervised machine learning and explore how it is applied to solve real-world problems.…
How to predict car prices using linear regression
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In this article, learn how to apply linear regression techniques to solve real-world problems. For this example, you will understand…
How to do Multiple Linear Regression
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In this tutorial, we will learn how to use Python to perform multiple linear regression. Since we have been introduced…
How to do Simple Linear Regression
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In this tutorial, we will learn how to use Python to perform simple linear regression. We will be introduced to…
How to start Machine Learning
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Getting Started with Machine Learning
Getting started with ML may seem daunting, but don't worry! In this blog…