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Overview of the Logistic Regression:

In Statistics, the Logistic Regression is one of the most significant models, in regards of the categorical response data. Nowadays, the Logistic Regression is broadly employed in a number of applications. Previously, it is employed only in biomedical sciences, however, for many years, it is used in the marketing and social science research. Nowadays, in business applications, the Logistic Regression is considered as one of the most popular tools.

It is a discriminative probabilistic class which runs over the -valued vector inputs. It can be determined in both the log loss and first-best category and for that reason considered as the finest probabilistic classifiers. It does not make the necessary assumptions of the linear regression and is basically dependent on the regular least squares algorithms associated with the homoscedasticity, linearity, normality level and measurement. Whenever you need any academic assistance on the above-mentioned topic, then Logistic Regression Assignment Help service is the most appropriate place to take online assistance from.

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Logistic Regression related topics, in which our professional tutors deal with:

  • Simple Linear Regression Assignment Help
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  • Robust regression Assignment Help
  • Nonparametric regression Assignment Help
  • One-Predictor Model Assignment Help
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  • Fuzzy Set Assignment Help
  • Kalman Filter Assignment Help
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