info@jigsawacademy.com
+91 92435-22277 (Analytics)
General Boosting & Bagging
Build an ensemble of machine learning algorithms using boosting and bagging methods.
This course teaches building and applying prediction functions with a strong focus on the practical application of machine learning using boosting and bagging methods. The course path will include a range of model based and algorithmic machine learning methods such as Random Forest, Boosting & Bagging methods and Support Vector Machines.
Basic understanding of statistics, classification and regression techniques, Language of R, and the basics of machine learning
R
3 months
2 weeks
General Boosting & Bagging
CURRICULUM
The course contains 4 modules.
Most students are able to complete all modules in 2 weeks or less
CASE STUDIES COVERED
Fraud Detection using Adabag
GBM packages of R
WHAT YOU GET
Classes
Since this is a video-based course, there are no live classes. You get to study at your convenience, and learn at a pace that you are comfortable with.
Pre-recorded video lectures
You get to view 3 hours of video lectures, as many times as you wish to.
Jigsaw Learning Centre
Gain free access to a variety of supplemental resources like handouts, reference material, guides, lecture transcripts and student forums – for a period of 3 months.
Faculty Support
Get your doubts solved by the Jigsaw Faculty via email, phone or chat – for a period of 3 months.
RELATED SPECIALIZATIONS
43703 learners
If you need clarity on how online training works, please visit
Or if you have any other questions, please visit the
In case you still have any unanswered questions, we encourage you to register for an upcoming webinar.