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30+ Free Datasets for Your Data Science Projects in 2023

Knowledge Hut

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. Your data should possess the maximum available information to perform meaningful analysis. What is a Data Science Dataset?

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Biases in Data Collection: Types and How to Avoid the Same

U-Next

An inaccuracy known as bias in data occurs when specific dataset components are overweighted or overrepresented. In reality, computers, data, and algorithms are not entirely objective. Data analysis can indeed aid in better decision-making, yet bias can still creep in. What Does Bias Mean in Data Analytics?

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Deciphering the Data Enigma: Big Data vs Small Data

Knowledge Hut

As organizations strive to gain valuable insights and make informed decisions, two contrasting approaches to data analysis have emerged, Big Data vs Small Data. These contrasting approaches to data analysis are shaping the way organizations extract insights, make predictions, and gain a competitive edge.

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Top 10 Data Science Websites to learn More

Knowledge Hut

Get to know more about data science for business. Learning Data Analysis in Excel Data analysis is a process of inspecting, cleaning, transforming and modelling data with an objective of uncover the useful knowledge, results and supporting decision. In data analysis, EDA performs an important role.

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Big Data vs Machine Learning: Top Differences & Similarities

Knowledge Hut

Recognizing the difference between big data and machine learning is crucial since big data involves managing and processing extensive datasets, while machine learning revolves around creating algorithms and models to extract valuable information and make data-driven predictions.

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Data Anomaly: Types, Causes, Detection, and Resolution

Databand.ai

A data anomaly, also known as an outlier, is an observation or data point that deviates significantly from the norm, making it inconsistent with the rest of the dataset. Data anomalies can be either intentional or unintentional and may result from errors, noise, or merely unique occurrences.