Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio
InstructorStart-Tech AcademyComidoc has tracked 1 coupon for this course since 2025, last checked 1 year, 26 days ago.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| SMARTLEARNFREE | 100% off | Expired | ~4 daysRan full term |
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This slide introduces the course instructors, Abhishek Bansal and Pukhraj Parikh, highlighting their degrees from IIT Roorkee and professional expertise in analytics tools like SQL, Tableau, and Python.
This graphic illustrates the course structure by pairing theoretical mathematical concepts with practical implementation in R programming.
This course features no prerequisites and includes practical exercises, as highlighted on this presentation slide alongside a classroom illustration.
This slide identifies the ideal candidates for the course as business analysts and students, illustrated by characters representing each professional role.
The curriculum includes a wide range of supervised learning techniques such as K-Nearest Neighbors, Support Vector Machines, and ensemble methods like Random Forest and XGBoost.
Instruction includes interview preparation through role-play simulations covering data preprocessing and R Studio concepts.
One signal suggests the explanations of models lack mathematical fundamentals and can be repetitive. This report predates the displayed update, so while the update label may have addressed it, a correction is not proven.
One signal indicates a specific R package may no longer be available, while another mentions difficulty accessing practice files. These reports predate the displayed update; therefore, the update label does not prove these issues were resolved.
The curriculum aligns well with the goal of introducing beginners to machine learning and R Studio.
Free
