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How to get datasets for Machine Learning?

Knowledge Hut

Datasets are the repository of information that is required to solve a particular type of problem. Also called data storage areas , they help users to understand the essential insights about the information they represent. Datasets play a crucial role and are at the heart of all Machine Learning models.

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Movie Recommendation System: Definition, Strategies, Usecase

Knowledge Hut

Not only could this recommendation system save time browsing through lists of movies, it can also give more personalized results so users don’t feel overwhelmed by too many options. What are Movie Recommendation Systems? Recommender systems have two main categories: content-based & collaborative filtering.

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What are the Commonly Used Machine Learning Algorithms?

Knowledge Hut

Machine Learning is a sub-branch of Artificial Intelligence, used for the analysis of data. It learns from the data that is input and predicts the output from the data rather than being explicitly programmed. There is no end to what can be achieved with the right ML algorithm.

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30+ Free Datasets for Your Data Science Projects in 2023

Knowledge Hut

As Data scientists, our focus is on both the quality and quantity of data which can improve the model results. With different sources of data, we can leverage the information to drive good business understanding. Your data should possess the maximum available information to perform meaningful analysis.

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Time Complexity: Significance, Types, Algorithms

Knowledge Hut

” In this article, we are going to discuss time complexity of algorithms and how they are significant to us. Nobody would want to use a system which takes a lot of time to process large input size. It defines the way data is arranged in a computer's memory and the operations that can be performed on that data.

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Basics of Data Structures and Algorithms in C++

Knowledge Hut

Understanding data structures and algorithms (DSA) in C++ is key for writing efficient and optimised code. Some basic DSA in C++ that every programmer should know include arrays, linked lists, stacks, queues, trees, graphs, sorting algorithms like quicksort and merge sort, and search algorithms like binary search.

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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.