Mastering Data Science and Machine Learning Fundamentals: A beginner course in data science, machine learning, regression, classification, and clustering [Video]

Name: Mastering Data Science and Machine Learning Fundamentals [Video]
Brand: Packt
SKU: 9781801074704
Price: 33.99 GBP
Availability: InStock

By AI Sciences

£33.99

Video Jan 2021 1 hours 48 minutes 1st Edition

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Product Details

Publication date : Jan 18, 2021

Length 1 hours 48 minutes

Edition : 1st Edition

Language : English

ISBN-13 : 9781801074704

Category :

Data

Concepts :

Machine Learning

View table of contents

Key benefits

Learn the fundamentals of data science, machine learning, and data mining
Learn interesting techniques to evaluate a machine learning model
Discover the best practices to solve real-world problems using machine learning

Description

Machine learning is the key to development in many areas, such as IT, security, marketing, automation, and even medicine. Without machine learning, it is impossible to build intelligent applications and devices, such as Alexa, Siri, and Google Assistant. This course will help to get familiar with data science and machine learning. The course starts with an introduction to data science, explaining different terms associated with it. You will also become familiar with machine learning and data science modeling and explore the key differences between model parameters and hyperparameters. Next, you will become familiar with the concepts of machine learning models, such as linear regression, decision trees, random forests, neural networks, and clustering techniques. Towards the end, you will learn how to evaluate machine learning models and learn the best practices to succeed in your data scientist role. By the end of this course, you will have a solid understanding of data science and machine learning fundamentals.

What you will learn

Become familiar with data science and machine learning terms Distinguish between model parameters and hyperparameters Distinguish between supervised and unsupervised learning Discover how decision trees, bagging, and random forest works Understand the importance of the k-nearest neighbors (KNN) algorithm in machine learning Learn about neural networks and clustering techniques Evaluate the performance of machine learning models