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First, import the required packages − import numpy as np from sklearn.linear_model import LinearRegression Now, provide the values for independent variable X − X = np.array( [ [1,1], [1,2], [2,2], [2,3]]) Next, the value of dependent variable y can be calculated as follows − y = np.dot(X, np.array( [1,2])) + 3
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Scikit-learn (Sklearn) is the most useful and robust library for machine learning in Python. It provides a selection of efficient tools for machine learning and statistical modeling including classification, regression, clustering and dimensionality ...
Scikit Learn - KNN Learning. k-NN (k-Nearest Neighbor), one of the simplest machine learning algorithms, is non-parametric and lazy in nature. Non-parametric means that there is no assumption for the underlying data distribution i.e. the model structure is determined from the dataset. Lazy or instance-based learning means that for the purpose
A storage class defines the scope (visibility) and life-time of variables and/or functions within a C++ Program. These specifiers precede the type that they modify. There are following storage classes, which can be used in a C++ Program auto register static ...
Scikit-learn (Sklearn) is the most useful and robust library for machine learning in Python. It provides a selection of efficient tools for machine learning and statistical modeling including classification, regression, clustering and dimensionality ...
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Data Structures & Algorithms - Overview. Data Structure is a systematic way to organize data in order to use it efficiently. Following terms are the foundation terms of a data structure. Interface − Each data structure has an interface. Interface represents the set of operations that a data structure supports.
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Machine Learning 6 Machine Learning is broadly categorized under the following headings: Machine learning evolved from left to right as shown in the above diagram. Initially, researchers started out with Supervised Learning. This is the case of ...
Scikit-learn (Sklearn) is the most useful and robust library for machine learning in Python. It provides a selection of efficient tools for machine learning and statistical modeling including classification, regression, clustering and dimensionality reduction via a ...
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