Engineering and Technology
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.
This course focuses on the machine learning concept of regression, which involves predicting numerical outcomes based on different inputs. Throughout the course, you will gain knowledge about various regression models, learn how to train these models using the R programming language, and understand the process of evaluating the trained models. Additionally, you will acquire the skills to effectively utilize these models for making accurate predictions.
by DataCamp
In this course you will learn how to predict future events using linear regression, generalized addi...
by DataCamp
Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using...
by DataCamp
In this course you will learn the basics of machine learning for classification.
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 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.