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Complete Machine Learning 2026 A-Z™: 10 Real World Projects (Udemy.com)

Complete Beginner to Expert Guide-Data Visualization,EDA,Numpy,Pandas,Math,Statistics,Matplotlib,Seaborn,Scikit,NLP-NLTK

4.6
558 reviews

Created by: MG Analytics

Last updated February 2026

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What you will learn

  • Python
  • Machine Learning
  • Statistics and Math
  • Data Science
  • Natural Language Processing
  • Data Analysis
  • Data Visualization

How it compares

Against the other 155 rated Udemy courses in Machine Learning on CourseDuck:

  • Rating4.6 out of 5higher than 81% of them
  • Reviews558#77 of 156 by number of reviews
  • Length37.5 hourslonger than 92% of them
  • Last updatedFebruary 2026more recently than 80% of them

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Course Description

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This course is made to give you all the required knowledge at the beginning of your journey, so that you don’t have to go back and look at the topics again at any other place. This course is the ultimate destination with all the knowledge, tips and trick you would require to start your career.

It gives detailed guide on the Data science process involved and Machine Learning algorithms. All the algorithms are covered in detail so that the learner gains good understanding of the concepts. Although Machine Learning involves use of pre-developed algorithms one needs to have a clear understanding of what goes behind the scene to actually convert a good model to a great model.

Our exotic journey will include the concepts of:

  1. Comparison between Artificial intelligence, Machine Learning, Deep Learning and Neural Network.

  2. What is data science and its need.

  3. The need for machine Learning and introduction to NLP (Natural Language Processing).

  4. The different types of Machine Learning – Supervised and Unsupervised Learning.

  5. Hands-on learning of Python from beginner level so that even a non-programmer can begin the journey of Data science with ease.

  6. All the important libraries you would need to work on Machine learning lifecycle.

  7. Full-fledged course on Statistics so that you don’t have to take another course for statistics, we cover it all.

  8. Data cleaning and exploratory Data analysis with all the real life tips and tricks to give you an edge from someone who has just the introductory knowledge which is usually not provided in a beginner course.

  9. All the mathematics behind the complex Machine learning algorithms provided in a simple language to make it easy to understand and work on in future.

  10. Hands-on practice on more than 20 different Datasets to give you a quick start and learning advantage of working on different datasets and problems.

  11. More that 20 assignments and assessments allow you to evaluate and improve yourself on the go.

  12. Total 10 beginner to Advance level projects so that you can test your skills.
Read More All Levels All Levels product length iconTime: 37.5h

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Instructor Details

MG Analytics

I have done B.tech in Computer Science Engineering and 10 + years of experience as a professional instructor and trainer for Data Science and programming. During the course of my career I have developed a skill set in analyzing data and I love sharing my knowledge to help other people learn the power of programming, the ability to analyze data, as well as present the data in clear and beautiful visualizations.

I am a Data Scientist and have experience in python, Deep learning, NLP and Big Data. I provide in-person data science, Machine Learning and Deep Learning training to Data science enthusiasts with 0 to 30+ years of Experience. I believe in learning by doing, hence all of my courses will give an in-depth knowledge of concepts followed by detailed explanations of codes, tips and tricks which I have learnt over years. The sample problems and examples will allow you to explore more and give you enough practice to gain confidence at each and every concept. I am here to help you stay on the cutting edge of Data Science and Technology.

To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!

Read More

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Reviews

4.6

558 ratings on Udemy

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By Mustafa A. on 11/12/2025

Great course! The theory was explained in a simple way, and the practical part was well-structured Best part is if you have no prior experience in ML, it covers a diverse range of algorithm and models.

By Ayush Gupta on 10/29/2025

Well-balanced course with a solid combination of theory and practical projects. The instructor’s organized teaching style really stands out. Highly recommended!

By Diego José! V. on 8/25/2025

This course gets it right from the start. The introduction is everything, slowly pulling back the curtain on data science and getting me excited to learn more!!!!

By Obinna Israel Igwe on 6/25/2025

The tutor focused on a lot of theory. when it came to python and projects, the tutor presented an already made work. the tutor used Jupyter notebook and never showed how jupyter notebook could be assessed or even how python could be installed. When the tutor moved on to use google colab, the explanation was not clear.

By Catherine M on 12/23/2021

This is "THE BEST" course for Machine Learning in Udemy. Each concept is explained so well. The Practice and Project part are very interesting and so nicely explained. Thanks to the creators and mentors of this program.

By Isaac Novaes Neres on 12/23/2021

it's been a wonderful course so far my journey with it. This course has a wide coverage of many topics possible, intuition of each of the approaches, line-by-line explanation of the code, with abundance of practice questions is a cherry on the top.. Excellent

By Mohit Shrivastava on 7/8/2021

This is one of the best courses for Machine Learning on Udemy. The course covers the topics which are important but are left untouched in so many courses. The curriculum itself shows the value of the course. If you can take only one course on ML on Udemy, this is the one. I wish, i could give more than 5 stars. Dear instructor, I look forward to more courses from you. People need these kind of courses.

By Anonymized User on 5/11/2021

The best course on the internet for ML. I really enjoyed this course, it was very informative and helped broaden my knowledge .She teaches like she is sat next to you and is mentoring you. Highly recommend this course.

By Anonymized User on 4/14/2021

An excellent course to learn Statistics, Python, ML, math behind algorithms with good practical exercises and exposure. Really glad to have taken this course.

By Jade Crumley on 2/2/2021

What a great course for starting my machine learning journey. I am a mechanical engineer and have found a love for software engineering/ data science. this course was perfect for me because i have a background in math and computer science already and was able to absorb and learn a lot from this course quickly. Also, the structure and organization of this course with the coding templates is GOLD!!! Thank you Mg Analytics Team.

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Overall Score : 92 / 100

Complete Machine Learning 2026 A-Z™: 10 Real World Projects
Visit course on Udemy Write a review
  • Video Duration: icon 37.5h
  • Price: $69.99
  • Provider: icon Udemy
  • Updated: icon February 2026
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
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