Python Machine Learning for Beginners: Learn Machine Learning from scratch with Python

Synopsis

This course lays the foundations for both a theoretical and practical understanding of machine learning and artificial intelligence, utilizing Python as a beginner-friendly introduction and invitation to further studyKey FeaturesA crash course in Python programmingInteractive, guided practice through a series of machine learning exercisesInstant access to PDFs, Python codes, and exercises from the publisher's website at no extra costBook DescriptionMachine Learning (ML) and Artificial Intelligence (AI) are here to stay. Yes, that's right. Based on a significant amount of data and evidence, it's obvious that ML and AI are here to stay. Consider any industry today. The practical applications of ML are really driving business results. Whether it's healthcare, e-commerce, government, transportation, social media sites, financial services, manufacturing, oil and gas, marketing, and sales. You name it. The list goes on. There's no doubt that ML is going to play a decisive role in every domain in the future. But what does a machine learning professional do? A machine learning specialist develops intelligent algorithms that learn from data and also adapt to the data quickly. Then, these high-end algorithms make accurate predictions. Python Machine Learning for Beginners presents you with a hands-on approach to learn ML fast. You'll learn about data analysis and visualization in great detail in the first half of the book. Then, in the second half, you'll learn about machine learning and statistical models for data science. Each chapter presents you with the theoretical framework behind the different data science and machine learning techniques, and practical examples illustrate the working of these techniques. By the end of this course, you will have a firm grasp on the theoretical foundations of machine learning and artificial intelligence as well as having explored and practiced various real-world applications through Python. The code bundle for this course is available at https://www.aispublishing.net/nlp-crash-course1603576259757What you will learnGet up to speed with Python programmingExplore Python NumPy and Pandas libraries for data analysisPractice data visualization via Matplotlib, Seaborn, and Pandas librariesSolve regression problems in ML using Sklearn librarySolve classification problems in ML using Sklearn libraryStudy data clustering with ML using Sklearn libraryCover deep learning with Python TensorFlow 2.0Perform dimensionality reduction with PCA and LDA using SklearnWho this book is forThis course is specifically designed for those students interested in studying machine learning from its theoretical foundations to advanced applications with Python. No prior experience is required.

Copyright:

2020

Book Details

Book Quality:

Publisher Quality

Book Size:

302 Pages

ISBN-13:

9781801810654

Publisher:

Packt Publishing

Date of Addition:

03/24/21

Copyrighted By:

Copyright AI Publishing

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.