Remove Data Analysis Remove Data Science Remove K-nearest Neighbors Remove Support Vector Machines
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Problem-solving tools offered by digital technology

Data Science Dojo

Image Credit: Pinterest – Problem solving tools In last week’s post , DS-Dojo introduced our readers to this blog-series’ three focus areas, namely: 1) software development, 2) project-management, and 3) data science. This week, we continue that metaphorical (learning) journey with a fun fact. Better yet, a riddle. IoT, Web 3.0,

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Predicting Heart Failure Survival with Machine Learning Models — Part II

Towards AI

That post was dedicated to an exploratory data analysis while this post is geared towards building prediction models. among supervised models and k-nearest neighbors, DBSCAN, etc., Motivation The motivating question is— ‘What are the chances of survival of a heart failure patient?’. among unsupervised models.

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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Journey to AI blog

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Data science has become an integral part of many industries, and as a result, the demand for skilled data scientists is soaring. What is Data Science?

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8 of the Top Python Libraries You Should be Using in 2024

ODSC - Open Data Science

What makes it popular is that it is used in a wide variety of fields, including data science, machine learning, and computational physics. Without this library, data analysis wouldn’t be the same without pandas, which reign supreme with its powerful data structures and manipulation tools.

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Five machine learning types to know

IBM Journey to AI blog

What is machine learning? ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Here, we’ll discuss the five major types and their applications.