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This course equips the student with a strong foundation in Python, R, and R Studio. Specifically, the use of R studio to develop statistical software is highlighted. The student then develops algorithms for skewness and kurtosis, box plot, hypothesis testing (parametric and non-parametric test), correlation analysis, linear regression, multiple linear regression, logistic regression, multiple logistic regression, supervised machine learning, KNN, Naive Bayes, Decision Tree, Random Forest, ANN, and SVM. For more info :- 9989994319 (enquiry@360digitmg.com)

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