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There are several machine learning algorithms that can provide the desired outputs by processing the input data. One of the widely used algorithms is linear regression.
Linear regression is a type of supervised learning algorithm where the output is in a continuous range and isn’t classified into categories. Through a linear regression machine learning algorithm, we can predict values with a constant slope.
Before choosing a machine learning algorithm, it's important to know their characteristics to generate desired outputs and build smart systems.
Data science is growing super fast. As the demand for AI-enabled solutions is increasing, delivering smarter systems for industries has become essential. And the correctness and efficiency through machine learning operations must be fulfilled to ensure the developed solutions complete all demands. Hence, applying machine learning algorithms on the given dataset to produce righteous results and train the intelligent system is one of the most essential steps from the entire process.
Trading is an area of life in which automation has taken off like little other. While speed is undoubtedly a major selling point of robotrading systems, the ability to act rationally and devoid of emotions is also crucial to the success of such systems.
Despite robotrading taking off, however, human analysts are still prevalent in the financial sector, so it remains crucial to ensure that they act as efficiently as possible. Recent research from the University of Singapore explores whether machine learning can be used to help detect undue emotion in traders and help them act (and trade) more rationally.
Welcome to the world of machine learning with scikit-learn. Machine learning can be overwhelming at times, and this is partly due to a large number of tools that are available on the market. This post will simplify this process of tool selection down to one — scikit-learn.
In this series, you will learn how to construct an end-to-end machine learning pipeline using some of the most popular algorithms that are widely used in industry and professional competitions, such as Kaggle.