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Best Data Science Books for Beginners and Experienced [2024]

Knowledge Hut

Budding aspirants and students are constantly looking for reliable data science s, research material, and the top data science books to kickstart their careers in this field. These specialized books will help you gain a comprehensive understanding of the basics and fundamentals of data science to get started.

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K-Nearest Neighbor (KNN) Algorithm for Machine Learning

Knowledge Hut

If you are thinking of a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classifications as well as regression problems, K-Nearest Neighbors (K-NN) is a perfect choice. K-Nearest Neighbors is one of the most basic supervised machine learning algorithms, yet very essential.

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Top 30+ Computer Science Project Topics of 2023 [Source Code]

Knowledge Hut

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. designing an algorithm to improve the efficiency of hospital processes. Investigating the security risks associated with hospital data. Creating a database to store patient information.

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15 Data Mining Projects Ideas with Source Code for Beginners

ProjectPro

In this blog, you will find a list of interesting data mining projects that beginners and professionals can use. Please don’t think twice about scrolling down if you are looking for data mining projects ideas with source code.

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Data Science Course Syllabus and Subjects in 2024

Knowledge Hut

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. Recognizing the growing need for data scientists, institutions worldwide are intensifying efforts to meet this demand.

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7 In-Demand Data Analyst Skills to Get You Hired in 2023

Edureka

Data mining and cleaning skills Data mining and cleaning skills are crucial for data analysts. Data mining involves identifying patterns and relationships in large datasets, while data cleaning involves removing errors, inconsistencies, and duplicates in the data.

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Top Business Intelligence Research Topics to Choose from in 2023

Knowledge Hut

It explores techniques to protect sensitive data while maintaining its usefulness for analysis and reporting, considering factors such as data masking algorithms, data classification, and access control mechanisms. This will help you structure your paper logically and ensure a coherent flow of ideas.