machine-learning-concepts

Logistic Regression: A Detailed Overview

Logistic regression is one of the most used algorithms in industries these days. It is a supervised learning algorithm that predicts the…

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Linear Regression: A complete understanding

In Machine Learning and Data Science field, Linear regression comes under the category of supervised learning approach. It is one of the…

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Famous Loss Functions and Cost Functions in Machine Learning

Optimization algorithms are the heart of Machine learning algorithms, as most ML algorithms get reduced to optimizing functions. But have we…

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Methods To Check The Performance Of Classification Models

Classification problems are one of the most used categories of problem statements in Machine Learning and Data Science. When we explore the…

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Methods To Check The Performance Of Regression Models

The model-building process is the core part of Machine Learning. There is much research going on in this area to build a more accurate model…

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Introduction to Scikit-Learn in Machine Learning: A Complete Understanding

Machine learning and Artificial Intelligence have become some of the hottest topics among industries and academia. Every second person these…

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Regularization: A Fix To Overfitting In Machine Learning

Machine Learning and Deep Learning are some of the fanciest terms in industries these days. People are getting amazed with the view of how…

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Need of Feature Scaling in Machine Learning

Data collection and pre-processing of the raw form of data is the ultimate necessity. Big organizations in data science and machine learning…

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Classification and Regression Problems in Machine Learning

In our previous article (here) we classified the whole machine learning on five different bases. While talking about the classification of…

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Supervised, Unsupervised, And Semi-Supervised Learning With Real-Life Usecase

In our previous article (here), we discussed the classification of the Machine Learning models on five different bases. Based on the nature…

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How exactly machine learns in Machine Learning?

In the previous article (here), We have found answers for the fundamental questions about Machine learning and artificial intelligence…

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Machine Learning Glossary: A-2-Z Terms In Machine Learning

Accuracy:- Accuracy is used to evaluate a classification model. It is defined as the percentage of the total number of correct predictions…

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Classification of Machine Learning Models

In recent days, Machine Learning is showing tremendous potential but compared to human intelligence, it is still in its earliest stage and…

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Introduction to Machine Learning: Comparison With Artificial Intelligence

In this article, we will explore the basic ideas that one should know about the most fascinating and emerging technology these days…

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