What you’ll learn
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Analyse and visualize data using Linear Regression
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Learn different types of linear regressions (1-dimensional and multi-dimensional models, logistic regressions, ANOVA, etc)
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Learn how to interpret and explain machine learning models
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Plot the graph of results of Linear Regression to visually analyze the results
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Assumptions of linear regression hypothesis testing
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Do feature selection and transformations to fine tune machine learning models
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Fully understand the basics of Machine Learning & Linear Regression Models from theory to practice
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Learn how to deal with the categorical data in your regression modeling and correlation between variables
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Learn the basics of R-programming
How to Enroll Practical Linear Regression in R for Data Science in R course?
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