Course Category: Data Science (Python)

This course covers the basics of Support Vector machine algorithm. It helps students implement and optimize the model for a dataset.

This course covers the basics of Support Vector machine algorithm. It helps students implement and optimize the model for a dataset.

This course covers advanced topics in optimizing ensemble learning methods – specifically random forest and gradient boosting. Students will learn t…

This course covers an overview of ensemble learning methods like random forest and boosting. At the end of this course, students will be able to im…

Decision tree models are classification algorithms that sort novel data into categories based on iterative splitting, like the branches of a tree, …

Logistic regression is a classification algorithm useful for sorting data into two classes: either this, or that. In this course, learners will identi…

Classification is a machine learning technique that can be used to sort novel data into labeled categories. In this course, learners will identify use…

Plotly is a powerful open-source graphic library for Python that allows users to create interactive visualizations. In this course, learners will disc…

Plotly is a powerful open-source graphic library for Python that allows users to create interactive visualizations. In this course, learners will disc…

This course is designed for learners who would like to learn about statistics and apply it for decision-making. This course is a comprehensive review …