Random Forest is an algorithm for machine learning that is used mostly for classification and regression. It utilizes multiple decision trees to generate more precise and accurate predictions.
This instructor-led, live training (online or onsite) is aimed at data scientists and software engineers who wish to use Random Forest to build machine learning algorithms for large datasets.
By the end of this training, participants will be able to:
Set up the necessary development environment to start building machine learning models with Random forest.
Understand the advantages of Random Forest and how to implement it to resolve classification and regression problems.
Learn how to handle large datasets and interpret multiple decision trees in Random Forest.
Evaluate and optimize machine learning model performance by tuning the hyperparameters.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Random Forest Schulung, Random Forest boot camp, Random Forest Abendkurse, Random Forest Wochenendkurse, Random Forest Kurs, Random Forest Training, Random Forest Seminar, Random Forest Seminare, Random Forest Privatkurs, Random Forest Coaching, Random Forest Lehrer
No course discounts for now.
Wir behandeln Ihre Daten vertraulich und werden sie nicht an Dritte weitergeben. Sie können Ihre Einstellungen jederzeit ändern oder sich ganz abmelden.
EINIGE UNSERER KUNDEN
is growing fast!
We are looking for a good mixture of IT and soft skills in Germany!
As a NobleProg Trainer you will be responsible for:
delivering training and consultancy Worldwide
preparing training materials
creating new courses outlines
At the moment we are focusing on the following areas:
Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
SOA, BPM, BPMN
Hibernate/Spring, Scala, Spark, jBPM, Drools
Mobile Development (iOS, Android)
LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
You need to have patience and ability to explain to non-technical people
To apply, please create your trainer-profile by going to the link below: