Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases using some measures of interestingness.

Multivariate Imputation by chained Equation

Data Set Information: 2126 fetal cardiotocograms (CTGs) were automatically processed and the respective diagnostic features measured. The CTGs were also classified by three expert obstetricians and a consensus classification label assigned to each of them. NSP: 1. Normal, 2. Suspected, 3. pathology Accuracy : 94.86

The birthwt data frame has 189 rows and 10 columns. The data were collected at Baystate Medical Center, Springfield, Mass during 1986

Data Set Information: 2126 fetal cardiotocograms (CTGs) were automatically processed and the respective diagnostic features measured. The CTGs were also classified by three expert obstetricians and a consensus classification label assigned to each of them. NSP: 1. Normal, 2. Suspected, 3. pathology. Accuracy is 79%

Linear Discriminant Analysis is another Machine Learning technique and classification method used for dimensionality reduction technique which is used in supervised classification problem. One of its main advantages is the model is interpretable and the prediction is easy.

PCA stands for Principal Component Analysis and it is used to reduce the dimension of the data with minimum loss of information.

This wine dataset is a result of chemical analysis of wines grown in a particular area.

To build a machine learning model to accurately predict whether or not the patients in the dataset have diabetes or not?

Predicting the salary class

Premium insurance for policyholders using Linear Regression with R

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