This machine learning online course should guide you in setting R studio and R crash course; data types; statistics; and process to describe the data graphically. You should have a basic knowledge of measures of centres and dispersion. You should be introduced to machine learning; data preprocessing for regression analysis; linear regression models; and regression models other than OLS. This course should educate you on classification models; the three classification models; logistic regression; linear discriminant analysis; and more. By the end of the course; you should have some knowledge of machine learning; statistics; regression analysis; linear regression; and classification models.
At Knowledge Door, we provide a wide range of internationally recognised qualifications to industry standards, developed and supported by teaching and professional experts.
We’re partnered with some of the largest accreditors in the world, so wherever our students go and whatever they want to do, the certificates we provide are fully accepted by the industry.
Our professional qualifications address skills gaps and teach skills and knowledge that bring real value to businesses. But, we aren’t just focused on direct career advancement. We know that learning, no matter what it is, creates a foundation for personal development, so we offer a wide-ranging choice of subjects.
