This instructor-led, live training in Azərbaycan (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.
Online Random Forest courses, Weekend Random Forest courses, Evening Random Forest training, Random Forest boot camp, Random Forest instructor-led, Weekend Random Forest training, Evening Random Forest courses, Random Forest coaching, Random Forest instructor, Random Forest trainer, Random Forest training courses, Random Forest classes, Random Forest on-site, Random Forest private courses, Random Forest one on one training
No course discounts for now.
Course Discounts Newsletter
We respect the privacy of your email address. We will not pass on or sell your address to others. You can always change your preferences or unsubscribe completely.
Some of our clients
is growing fast!
We are looking for a good mixture of IT and soft skills in Azerbaijan!
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: