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DATA IMPUTATION

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  AMARESHWAR KARATAGI REVA University Bangalore      DATA IMPUTATION DATA - Data is information that has been translated into a form that is efficient for movement or processing. IMPUTATION - Imputation  simply means replacing the missing values with an estimate, then analyzing the full data set as if the imputed values were actual observed values. Data Imputations can be defined as averages or extractions from a predictive distribution of missing values, require a method of creating a predictive distribution for imputation based on the observed data. The two approaches for generating this distribution are Explicit Modeling - In explicit modeling , the predictive distribution is based on a formal statistical model, for example, multivariate normal, therefore the assumptions are explicit. Examples of explicit modeling are Average(Mean) imputation - The missing value is replaced for the mean of all data f...
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Deep Analysis of Supervised Learning

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AMARESHWAR KARATAGI REVA University Bangalore Core Concepts of Supervised Learning  Supervised Learning  has we disused in Last blog, its is a part of Machine Learning. further It is classified into Prediction And Classification. Prediction
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Core of Computer Language [Python]

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  AMARESHWAR KARATAGI REVA University Bangalore Core Basics of Python T he First Integrity Chip (IC) was design  in 1971 by the Intel, Called Intel 4004. That had very basic  operations. It is  a complete general-purpose CPU on a single chip and using cutting-edge silicon-gate technology, the  4004  marked the beginning of  Intel's  rise to global dominance in the  processor  industry World's First IC from Intel in 1971 Specification of Intel 4004                                                            The  4004  was a 4-bit CPU,  designed for use in the Busicom 141-PF printing calculator.  The chip, which is clocked at 740 KHz, employs a 10µm process silicon-gate, capable of executing 92,000 instructions per second.  The chip was capable of accessing 4...
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