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Home » Ebooks & Tutorials » Technical » Programming » Packt – Machine Learning and Data Science With Python a Complete Beginners Guide

Packt – Machine Learning and Data Science With Python a Complete Beginners Guide

29/07/2019 Learning for Life Leave a Comment

Packt – Machine Learning and Data Science With Python a Complete Beginners Guide-JGTiSO
English | Size: 5.44 GB
Category: CBTs


Learn
Machine learning
Data science using Python
About
Artificial intelligence, machine learning, and deep learning neural networks are the most used terms nowadays in the technology world. They’re also the most misunderstood and confused terms too. Artificial intelligence is a broad spectrum of science which tries to make machines intelligent like humans. Machine learning and neural networks are two subsets that comes under this vast machine learning platform. But in this course, we will focus mainly on machine learning. Throughout this course, we will prepare our machine to make it ready for a prediction test.

We will use Python as our programming language. Python is a great tool for the development of programs that perform data analysis and prediction. It has tons of classes and features that perform complex mathematical analyses and give solutions in simple one or two lines of code, so we don’t have to be a statistic genius or mathematical nerd to learn data science and machine learning.

Machine learning and data science jobs are the most lucrative in the technology arena nowadays. Learning this course will make you equipped to compete in this area.
Style and Approach

Exhaustive and packed with step-by-step instructions, working examples, and helpful advice, this course is divided into clear chunks so you can learn at your own pace and focus on your own area of interest.
Features

Learn machine learning and data science using Python
A practical course designed for beginners who are interested in machine learning using Python

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Programming Beginners, Complete, Data, Guide, JGTiSO, Learning, Machine, Packt, Python, Science

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