Clustering, Data Wrangling, Decision Trees and Hadoop

Best Resources for Kids to learn Data Science with Python

Pickl AI

MAY 31, 2023

Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decision trees, and support vector machines. After that, move towards unsupervised learning methods like clustering and dimensionality reduction. It includes regression, classification, clustering, decision trees, and more.

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Introduction to R Programming For Data Science

Pickl AI

JULY 10, 2023

The programming language can handle Big Data and perform effective data analysis and statistical modelling. Hence, you can use R for classification, clustering, statistical tests and linear and non-linear modelling. How is R Used in Data Science? Accordingly, Caret represents regression as well as classification training.

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Best Resources for Kids to learn Data Science with Python

Introduction to R Programming For Data Science

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