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An Easy Guide to Choose the Right Machine Learning Algorithm

KDnuggets

There's no free lunch in machine learning. So, determining which algorithm to use depends on many factors from the type of problem at hand to the type of output you are looking for. This guide offers several considerations to review when exploring the right ML approach for your dataset.

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A Beginners Guide to Machine Learning: Binary Classification of legendary Pokemon using multiple ML algorithms

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon INTRODUCTION Machine Learning is widely used across different problems in real-world. The post A Beginners Guide to Machine Learning: Binary Classification of legendary Pokemon using multiple ML algorithms appeared first on Analytics Vidhya.

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Future of AI and Machine Learning in Cybersecurity

Analytics Vidhya

Introduction Artificial Intelligence (AI) and Machine Learning (ML) have rapidly become some of the most important technologies in the field of cybersecurity. With the increasing amount of data and sophisticated cyber threats, AI and ML are being used to strengthen the security of organizations and individuals.

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Privacy-Preserving in Machine Learning (PPML)

Analytics Vidhya

Overview Machine learning (ML) has a lot of potential for increasing productivity. However, the quality of the data for training ML models should be excellent to provide good results. Any ML algorithm provides excellent performance only when there is huge and perfect data fed […].

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ML-trained Predictive model with a Django API

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview: Machine Learning (ML) and data science applications are in high demand. When ML algorithms offer information before it is known, the benefits for business are significant. The ML algorithms, on […].

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kNN Algorithm – An Instance-based ML Model to Predict Heart Disease

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Instance-based learning is an important aspect of supervised machine learning. The modus operandi of this algorithm is that the training examples are being stored and when the test […].

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Machine Learning vs Neural Networks: What is the Difference?

Analytics Vidhya

Introduction This article will examine machine learning (ML) vs neural networks. Machine learning and Neural Networks are sometimes used synonymously. Even though neural networks are part of machine learning, they are not exactly synonymous with each other. appeared first on Analytics Vidhya.