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Learning Path: Python: Machine and Deep Learning with Python

This Learning Path begins with covering the basic-to-advanced-level concepts of Python.
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8.4

CourseMarks Score®

8.7

Freshness

N/A

Feedback

7.7

Content

Platform: Simpliv Learning
Price: $39.99
Video: 14h34m
Language: English
Next start: On Demand

Top Python courses:

Detailed Analysis

CourseMarks Score®

8.4 / 10

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

Freshness Score

8.7 / 10
This course was last updated on 04/2020.

Course content can become outdated quite quickly.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

7.7 / 10
Video Score: 7.6 / 10
The course includes 14h34m 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.
The average video length is 7 hours 24 minutes of 1,300 Python courses on Simpliv Learning.
Detail Score: 10.0 / 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

Use the power of Python to explore the future of data science and uncover the hidden layers of data!

Do you want to explore the various arenas of machine learning and deep learning by creating insightful and interesting projects? If yes, then this Learning Path is ideal for you!

Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.

Machine learning and deep learning gives you unimaginably powerful insights into data. Both of these fields are increasingly pervasive in the modern data-driven world.

This Learning Path begins with covering the basic-to-advanced-level concepts of Python. Then, you’ll explore a range of real-life scenarios where machine learning can be used. Throughout the Learning Path, you will use Python to implement a wide range of machine learning algorithms that solve real-world problems. You’ll also learn a range of regression techniques, classification algorithms, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples. There are six different independent projects that will help you master machine learning in Python. Finally, you’ll learn to build intelligent systems using deep learning with Python.

By the end of this Learning Path, you should be able to build your own machine learning and deep learning models.

Meet Your Experts:

We have combined the best works of the following esteemed authors to ensure that your learning journey is smooth:

Daniel Arbuckle got his Ph.D. In Computer Science from the University of Southern California. He has published numerous papers, along with several books and video courses, and is both a teacher of computer science and a professional programmer.
Prateek Joshiis an artificial intelligence researcher, published author of five books, and TEDx speaker. He is the founder of Pluto AI, a venture-funded Silicon Valley startup building an analytics platform for smart water management powered by deep learning. His tech blog has received more than 1.2 million page views from 200 over countries and has over 6,600+ followers.
Alexander T. Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling.
Eder Santana is a PhD candidate on Electrical and Computer Engineering. His thesis topic is on Deep and Recurrent neural networks. After working for 3 years with Kernel Machines (SVMs, Information Theoretic Learning, and so on), Eder moved to the field of deep learning 2.5 years ago, when he started learning Theano, Caffe, and other machine learning frameworks.

Basic knowledge
Basic knowledge of Python
Some understanding of statistical concepts would be beneficial

You will learn

What will you learn
✓ Learn the fundamentals to advanced techniques of Python
✓ Explore and use Python’s impressive machine learning ecosystem
✓ Understand which machine learning algorithms to use in a given context
✓ Learn how to evaluate a problem and apply optimal data models to solve it
✓ Deploy machine learning models using third-party APIs
✓ Get to grips with each and every aspect of deep learning

Requirements

• Basic knowledge of Python
• Some understanding of statistical concepts would be beneficial

This course is for

• This Learning Path is for Python programmers, developers, and data scientists who are looking to use machine-learning algorithms to create real-world applications

How much does the Learning Path: Python: Machine and Deep Learning with Python course cost? Is it worth it?

The course costs $39.99. And currently there is a 80% discount on the original price of the course, which was $199.99. So you save $160 if you enroll the course now.
The average price is $19.0 of 1,300 Python courses. So this course is 110% more expensive than the average Python course on Simpliv Learning.

Does the Learning Path: Python: Machine and Deep Learning with Python course have a money back guarantee or refund policy?

YES, Learning Path: Python: Machine and Deep Learning with Python 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 Learning Path: Python: Machine and Deep Learning with Python course, but there is a $160 discount from the original price ($199.99). So the current price is just $39.99.

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

Packt Publishing has created 2059 courses that got 58,562 reviews which are generally positive. Packt Publishing has taught 402,947 students and received a 4.0 average review out of 58,562 reviews. Depending on the information available, Packt Publishing is a TRUSTED instructor.

8.4

CourseMarks Score®

8.7

Freshness

N/A

Feedback

7.7

Content

Platform: Simpliv Learning
Price: $39.99
Video: 14h34m
Language: English
Next start: On Demand

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