Dr. Ryan Ahmed, Ph.D., MBA
Artificial Intelligence (AI) revolution is here! The technology is progressing at a massive scale and is being widely adopted in the Healthcare, defense, banking, gaming, transportation and robotics industries.
Machine Learning is a subfield of Artificial Intelligence that enables machines to improve at a given task with experience. Machine Learning is an extremely hot topic; the demand for experienced machine learning engineers and data scientists has been steadily growing in the past 5 years. According to a report released by Research and Markets, the global AI and machine learning technology sectors are expected to grow from $1.4B to $8.8B by 2022 and it is predicted that AI tech sector will create around 2.3 million jobs by 2020.
The purpose of this course is to provide students with knowledge of key aspects of machine learning regression techniques in a practical, easy and fun way. Regression is an important machine learning technique that works by predicting a continuous (dependant) variable based on multiple other independent variables. Regression strategies are widely used for stock market predictions, real estate trend analysis, and targeted marketing campaigns.
The course provides students with practical hands–on experience in training machine learning regression models using real–world dataset. This course covers several technique in a practical manner, including:
Instructor Details
Courses : 10
Specification: Machine Learning Regression Masterclass in Python
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14 reviews for Machine Learning Regression Masterclass in Python
Add a review
| Price | $19.99 |
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| Provider | |
| Duration | 10.5 hours |
| Year | 2022 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$19.99
Rommel Cysne –
Mostra conceitos b sicos de regress o al m de m todos bastante interessantes e teis para visualizar os dados.
Purnananda Behera –
Good training materials.
Tattwa Darshi Panda –
One of the best courses I have ever Taken. Very High regards and respect to you Sir.
Deepak Khandelwal –
good
Ramakrishna –
excellent
Aditya Sharma –
It was a good introduction to understanding of concepts and then applying them with help of Projects .
Adnan NCEVARLIK –
Good & clean explanations to learn and refresh knowledge for all level Data scientists and who interested in AI & ML professionals.
Pattara Tepnu –
Very Good to explain linear regression ,and Thank you and cheer up for your good content in the future
Andre Theobalds –
Course is simple to follow, lesson recaps really help.
Saumil Shah –
simply awesome
Jayasankar S. –
Great course, very clear, good examples, simple to understand and very good coverage…
Antonios Lalechos –
Good selection of content. But very high repeat ability of same and same wording again and again (this is intended for persons with some understanding of maths, trends, etc). Could make videos more efficient and shorter. Also audio is very very bad.
Rakesh Kumar –
Teaching is an art, And Mr. Ryan is perfect at it 🙂 Thanks for creating amazing content, simply loving and enjoying the journey to learn machine learning !
David Paradice –
I think this would be a very good course for beginners (I’m not a beginner). The instructor is careful to explain concepts and review multiple times. The exercises are pretty good and a student certainly should be able to complete them. Note that the section on artificial neural networks might require libraries to be loaded that you don’t have if you have not worked with ANNs before. I would recommend this course to a beginning student or one who is not confident about regression techniques.