Cross Validation, Data Visualization and Support Vector Machines

Big Data Syllabus: A Comprehensive Overview

Pickl AI

AUGUST 9, 2024

Students should learn how to leverage Machine Learning algorithms to extract insights from large datasets. Key topics include: Supervised Learning Understanding algorithms such as linear regression, decision trees, and support vector machines, and their applications in Big Data.

Big Data

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

MAY 23, 2023

Once the exploratory steps are completed, the cleansed data is subjected to various algorithms like predictive analysis, regression, text mining, recognition patterns, etc depending on the requirements. In the final stage, the results are communicated to the business in a visually appealing manner. These are called support vectors.

Data Science

Data Science Decision Trees Machine Learning Machine Learning

Data Science Current

Big Data Syllabus: A Comprehensive Overview

[Updated] 100+ Top Data Science Interview Questions

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