Step by Step Course for Machine Learning ( 7+ hours) - Udemy Course for Free

Step by Step Course for Machine Learning ( 7+ hours) - Udemy Course for Free

Description 

If you are looking to start your career in machine learning then this is the course for you.

This is a course designed in such a way that you will learn all the concepts of machine learning right from basic to advanced levels.

This course has 5 parts as given below:

1. Introduction & Data Wrangling in machine learning

2. Linear Models, Trees & Preprocessing in machine learning

3. Model Evaluation, Feature Selection & Pipelining in machine learning

4. Bayes, Nearest Neighbours & Clustering in machine learning

5. SVM, Anomalies, Imbalanced Classes, Ensemble Methods in machine learning

For the code explained in each lecture, you can find a GitHub link in the resources section.

 

👉About the Instructor: 

Fatah Gabrial is a Graphic Designer, Web Designer, Web Developer, Digital Marketer and loves to teach. He has been teaching online and offline to people for more that 10+ years now, where he has help more than 100’s of people to setup their own business.

In addition, Fatah Gabrial loves to code & design more than anything. He can easily adapt to any new technologies, which helps him learn anything faster. He also likes to keep upgrading my skills as often as possible.

Fatah Gabrial has also worked on many platforms like WordPress, Angular, ReactJS, Python, Django and many more. He is also an SEO – Search Engine Optimization specialist which is a huge advantage if you are looking for Digital Marketing.

If you are interested in improving your web development skills, then look no further - Enroll today!

 

👉Follow the Button below to get to the Free Udemy Course page with Discount Coupon applied on it:

What you'll learn 

• Learn how to use NumPy to do fast mathematical calculations in machine learning.

• Learn what is Machine Learning and Data Wrangling in machine learning.

• Learn how to use scikit-learn for data-preprocessing in machine learning.

• Learn different model selection and feature selections techniques in machine learning.

....

Who this course is for:

• Beginners who want to become a data scientist
• Software developers who want to learn machine learning from scratch
• Python developers who are interested to learn machine learning
• Professionals who want to start their career in Machine Leaning

This course includes:

👉7 hours course

👉Full lifetime access

👉Certificate of completion

 

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