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Data Science and Machine Learning for beginners $12.49   Add to cart

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Data Science and Machine Learning for beginners

This document is designed for beginners who are interested in learning about the basics of data science, machine learning, Python, and statistics. We will explore the fundamental concepts of data science and how it can be used to solve real-world problems. Additionally, we will cover the basics of ...

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"An Introduction to Data Science and the Data Science Pathway"

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This document provides an overview of the field of data science, describing how it utilizes tools from coding, statistics, math, and domain knowledge to work creatively with data in order to gain insight and competitive advantage. The document discusses the various components of data science, includ...

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Summary "Introduction to Machine Learning for Absolute Beginners"

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The document is a summary of a lecture tutorial on machine learning for beginners. The tutorial is conducted by Kylie Ying, a physicist and engineer who has worked at MIT, CERN, and Free Code Camp. The tutorial covers the basics of supervised and unsupervised learning models, programming machine lea...

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Introduction to Statistics: Concepts and Terminologies.

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The document is a transcript of a lecture given by Monica Wahi on the topic of statistics. It covers the definition and importance of statistics, the concepts of population and sample, and the differences between population parameters and sample statistics. The lecture also delves into the classific...

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Summary Mastering Python for Beginners: Problem Solving and Algorithmic Thinking

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The document is a transcript of a speech or lecture about the focus of a Python for beginners course in data science. The speaker explains that the course is designed for individuals with no prior programming experience and will start from the basics of problem-solving in computer science. The main ...

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