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Logistic Regression, Decision Tree and Neural Network in R – Udemy course 100% OFF

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Logistic Regression, Decision Tree and Neural Network in R

Logistic Regression, Decision Tree and Neural Network in R

Requirements

The only prerequisite for this class is the willingness to learn and some basic knowledge of R but not necessary

Description

In this course, we cover two analytics techniques: Descriptive statistics and  Predictive analytics. For the predictive analytic, our main focus is the implementation of a logistic regression model a Decision tree and neural network. We well also see how to interpret our result, compute the prediction accuracy rate, then construct a confusion matrix .

By the end of this course , you will be able to effectively summarize your data , visualize your data , detect and eliminate missing values, predict futures outcomes using analytical techniques described above , construct a confusion matrix, import and export a data.

Who this course is for: Anyone seeking a career as data scientist, data analyst , finance analyst, statistician , actuary, just to name few

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