Engineering and Technology
In this course you will learn the basics of machine learning for classification.
This introductory course on machine learning provides a comprehensive overview of four widely used classification algorithms. By the end of this course, you will have gained a fundamental understanding of the methodologies employed by each algorithm in tackling learning tasks. Additionally, you will acquire the necessary knowledge of R functions required to effectively implement these algorithms in your own projects.
by DataCamp
In this course you will learn the basics of machine learning for classification.
by DataCamp
In this course you will learn how to predict future events using linear regression, generalized addi...
by DataCamp
Learn how to tune your model's hyperparameters to get the best predictive results.
by DataCamp
Sharpen your knowledge and prepare for your next interview by practicing Python machine learning int...
by DataCamp
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this inter...
by DataCamp
Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using...
by DataCamp
Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.
by DataCamp
Learn how to detect fraud using Python.
by DataCamp
Learn to detect fraud with analytics in R.