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machine-learning-algorithms

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

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Machine learning algorithms are computational models that allow computers to understand patterns and forecast or make judgments based on data without the need for explicit programming. These algorithms form the foundation of modern artificial intelligence and are used in a wide range of applications, including image and speech recognition.

  • Updated Jun 2, 2024
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Explore the Kaggle Codes Repository for concise and powerful code snippets covering the essentials of data science and machine learning. From Kaggle competitions to real-world projects, discover insights into exploratory data analysis, machine learning models, feature engineering, and data science mathematics.

  • Updated Jun 2, 2024
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MachineLearningExploration

This is an exploration of data science & machine learning, including various data analysis, preprocessing and modeling methods in python and mathematics behind them.

  • Updated Jun 2, 2024
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