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Self-Learning Data Science PDF

16 Pages·2019·English
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by ['ko no']| 2019| 16 pages| English

About Self-Learning Data Science

This document provides a 31-day curriculum for learning data science. It is split into 4 parts that cover data preparation, exploratory data analysis, creating problem statements, and building machine learning models. Each part provides explanatory articles and hands-on tutorials focusing on key concepts and practical applications. The goal is to enable self-learning of data science through curated online resources and implementing projects using Python.

Detailed Information

Author:['ko no']
Publication Year:2019
Pages:16
Language:English
Format:PDF
Price:FREE
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