5 Courses and Certifications

Online Random Forest Courses & Certifications

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Random Forest

Conducted by Jigsaw Academy, the Random Forest certification course is worth not missing pursuing. Imparting an in-depth understanding of different tools and technologies used in Random Forest, the one-month course is definitely worth going for. The course can be finished in an online mode within a month. Only those candidates who have a basic informational knowledge of topics like statistics, machine learning, and R can participate.

The Random Forest training has been designed and conceptualized by experts in this industry. With the growth and advent of technology, it is essential to stay abreast with current developments in this industry. Random Forest Certification course by Jigsaw Academy will give immense exposure to the candidates and help them in learning algorithmic machine learning methods and several other subjects. 

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1 Months
Skills Covered:
R Programming Machine learning

Offered by


Ensemble Machine Learning in Python: Random Forest, AdaBoost

Ensemble Machine Learning in Python: Random Forest, AdaBoost course is an online course that could be taken by learners who are keen to learn the Ensemble Machine Learning. The curriculum will explore different Ensemble Methods of Python, namely,  Boosting, Bagging, Bootstrap, and Statistical Machine Learning for Data Science. The course is relevant as Machine Learning is embedded in all walks of life and all industries. 

Ensemble Machine Learning in Python: Random Forest, AdaBoost online course, provided by Udemy, trains the learners in ensemble methods of Machine learning which is to combine the available models of machine learning and come with a powerful model outdoing the shortcomings. The participants will go through ways to bring together models like decision trees and logistic regression to build more outstanding models. The programme specifically focuses on studying the Random Forest and AdaBoost algorithms. 

Ensemble Machine Learning in Python: Random Forest, AdaBoost certification demands certain prerequisites including Calculus, Probability, Object-oriented programming, Numpy coding, Python coding and Simple machine learning models. The short training also enables the participants to engage in hands-on practical aspects through many experiments to use these algorithms on real datasets. The interested learners could enrol on the course by paying the fee. Early birds will be given a discount. 

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Skills Covered:
Knowledge of Python

Offered by


Random Forest



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