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Python Machine Learning Solutions

Machine learning is increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more.
/5
Created by Packt Publishing

8.8

CourseMarks Score®

9.6

Freshness

N/A

Feedback

7.6

Content

Platform: Simpliv Learning
Price: $99.99
Video: 4h30m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

8.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.6 / 10
This course was last updated on 10/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

We analyzed factors such as the rating and the ratio between the number of reviews and the number of students, which is a great signal of student commitment. If a course does not yet have a rating, we exclude Feedback Score from the overall CourseMarks Score.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

7.6 / 10
Video Score: 7.5 / 10
The course includes 4h30m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

100 videos that teach you how to perform various machine learning tasks in the real world.

Machine learning is increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more.

With this course, you will learn how to perform various machine learning tasks in different environments. We’ll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the course, you’ll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms.

You’ll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modelling, data visualization techniques, recommendation engines, and more with the help of real-world examples.

About the Author

Prateek Joshi is an Artificial Intelligence researcher and a published author. He has over 8 years of experience in this field with a primary focus on content-based analysis and deep learning. He has written two books on Computer Vision and Machine Learning. His work in this field has resulted in multiple patents, tech demos, and research papers at major IEEE conferences. His blog has been visited in more than 200 countries and has received more than a million page views. He has been featured as a guest author in prominent tech magazines. He enjoys blogging about topics such as artificial intelligence, Python programming, abstract mathematics, and cryptography. You can visit his blog at www.prateekvjoshi.com. He has won many hackathons utilizing a wide variety of technologies. He is an avid coder who is passionate about building game-changing products. He graduated from the University of Southern California and he has worked at companies such as Nvidia, Microsoft Research, Qualcomm, and a couple of early stage start-ups in Silicon Valley. You can learn more about him on his personal website at www.prateekj.com. Acknowledgments: I would like to thank the reviewers of this book for their valuable comments and suggestions. I would also like to thank the wonderful team at Packt Publishing for publishing the book and helping me all along. Finally, I would like to thank my family for supporting me through everything.

Requirements

• This video is for Python programmers who are looking to use machine-learning algorithms to create real-world applications. This video is friendly to Python beginners, but familiarity with Python programming would certainly be useful to play around with the code

You will learn

Explore classification algorithms and apply them to the income bracket estimation problem
✓ Use predictive modeling and apply it to real-world problems
✓ Understand how to perform market segmentation using unsupervised learning
✓ Explore data visualization techniques to interact with your data in diverse ways
✓ Find out how to build a recommendation engine
✓ Understand how to interact with text data and build models to analyze it
✓ Work with speech data and recognize spoken words using Hidden Markov Models
✓ Analyze stock market data using Conditional Random Fields
✓ Work with image data and build systems for image recognition and biometric face recognition
✓ Grasp how to use deep neural networks to build an optical character recognition system

This course is for

• This video is for Python programmers who are looking to use machine-learning algorithms to create real-world applications.

How much does the Python Machine Learning Solutions course cost? Is it worth it?

The course costs $99.99. And currently there is a 80% discount on the original price of the course, which was $499.99. So you save $400 if you enroll the course now.

Does the Python Machine Learning Solutions course have a money back guarantee or refund policy?

YES, Python Machine Learning Solutions has a 20-day money back guarantee. The 20-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Python Machine Learning Solutions course, but there is a $400 discount from the original price ($499.99). So the current price is just $99.99.

Who is the instructor? Is Packt Publishing a SCAM or a TRUSTED instructor?

Packt Publishing has created 659 courses that got reviews which are generally positive. Packt Publishing has taught 27 students and received a average review out of reviews. Depending on the information available, Packt Publishing is a TRUSTED instructor.

More info about the instructor, Packt Publishing

8.8

CourseMarks Score®

9.6

Freshness

N/A

Feedback

7.6

Content

Platform: Simpliv Learning
Price: $99.99
Video: 4h30m
Language: English
Next start: On Demand

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