Top 10 Best Machine Learning Courses on Udemy [2020]

TOP 10 Best Machine Learning Courses on Udemy

These days everyone wants to do Machine Learning, it has become one of the most interesting and fast-growing computer science fields today. About, 2,860,323 students are learning Machine Learning on Udemy, this is really huge. In this article, we have compiled the list of Top 10 Best Machine Learning Courses on Udemy [2020] especially for all levels of learners in the data science field. So let’s get started. 

List of Top 10 Best Machine Learning Courses on Udemy [2020]

  1. Machine Learning A-Z: Hands-On Python & R In Data Science
  2. Python for Data Science and Machine Learning Bootcamp
  3. Machine Learning, Data Science, Deep Learning with Python 
  4. Data Science and Machine Learning Bootcamp with R
  5. Machine Learning with Javascript 
  6. Bayesian Machine Learning in Python: A/B Testing 
  7. Complete Machine Learning and Data Science: Zero to Mastery
  8. The Data Science Course 2020: Complete Data Science Bootcamp
  9. Machine Learning Practical: 6 Real-World Applications
  10. Data Science: Supervised Machine Learning in Python

1. Machine learning A-Z: Hands-On Python & R In Data Science

Interested in learning Machine Learning from scratch? Then this course is perfect for you. In this course, two professional Data Scientists will help you to learn complex theory, coding libraries, and algorithms in the simplest way possible. You will walk step-by-step into the world of Machine Learning in this course. Moreover, with every lecture, you will develop new skills and understand the challenges in Data science easily. Also, this course is fun but at the same time, packed with many practical exercises based on real-life examples. 

Key Highlights:

  • You will become master in Machine Learning and R.
  • Create robust Machine Learning models.
  • Also, you will have great intuitions on many Machine Learning models and will make accurate predictions.
  • Handle advanced techniques like Dimensionality Reduction.
  • You will get some hands-on practice building your own models by the end of the course.
  • Bonus, this course includes both Python and R code templates which can be used in the future on your own projects.
  • 265 lectures-32 articles-5 downloadable resources- full lifetime access

Duration: 38.5 hours

Star Rating: 4.5/5

Students Enrolled: 616,639

Click here to SIGN UP

2. Python for Data Science and Machine Learning Bootcamp

Be ready to start your journey to becoming a Data Scientist, as this course is one the best courses on Udemy for beginners with some knowledge of programming as well for the experienced developers looking for the new start in the field of Data Science. In this course, you will learn how to use powerful Machine Learning algorithms and also the power of Python to analyze and create beautiful visualizations.  As compared to other Data Science Bootcamps, this course makes you learn everything at a worthy cost. About 100 videos and detailed code notebooks for every lecture is provided, which makes it the most comprehensive course for Data Science and Machine Learning on Udemy.

Key Highlights:

  • In this course, you will use Python for Data Science and Machine learning.
  • During this course, you wil also implement Machine Learning Algorithms.
  • Also, you will learn Pandas for Data Analysis and Seaborn for statistical plots.
  • Moreover, you will use Sci-Kit Learn for Machine Learning.
  • Learn to use NumPy, Matplotlib, Plotly, Tensorflow and more.
  • 164 lectures- 12 articles- 5 downloadable resources

Duration: 25 hours

Star Rating: 4.6/5

Students Enrolled: 323,659

Click here to SIGNUP

3. Machine Learning, Data Science, Deep Learning with Python 

As the name suggests, this course is all about Machine Learning and Deep Learning. In this course, you will be introduced to Tensorflow and Keras. You will be also learning MatplotLib for statistical plotting in Python. If you like image classification and data analysis then you can consider this course on your list. If you know Python it would be a bonus but don’t worry if you don’t, as in this course a Python crash course is also included for the beginners. 

Key Highlights:

  • In this course, you will build artificial neural networks with Tensorflow and Keras.
  • You will implement Machine Learning at a massive scale with Apache Spark’s MLLib.
  • Classify images, data, and sentiments using Deep Learning.
  • Moreover, you will build a movie recommender system using user-based filtering and item-based filtering.
  • Installation steps for all the major operating systems will be provided by the instructor.
  • 111 lectures – 6 articles – full lifetime access

Duration: 14 hours

Star Rating: 4.5/5

Students Enrolled: 19,720

Click here to SIGN UP

4. Data Science and Machine Learning Bootcamp with R

This course is one of the highest-rated courses on udemy for Machine Learning with an introduction to R programming language. If all the previous courses were about Python, this is one is about R programming language starting from the basic to an advanced level. This course begins with the installation of R on your local machine to reading types of files in R. It is taught by one of the best instructors for data science & programming,  Jose Portilla. If you want to switch to a data scientist or ML engineer profile, this course is perfect for you.

Key Highlight:

  • You will learn to use R for Machine Learning algorithms.
  • Use R for data analysis.
  • Moreover, you will also manipulate data easily and handle CSV, excel or web scrapping using R.
  •  127 lectures – 8 articles – 3 downloadable resources

Duration: 17.5 hours

Star Rating: 4.6/5

Students Enrolled: 10,059

Click here to SIGNUP

5. Machine Learning with Javascript

We all know Machine learning is the future of everything, then you must be thinking why Javascript? The answer is very simple, learning Machine Learning with javascript is much easier than with Python. This course is the best introduction to the fundamental topics of Machine Learning and most importantly no subject is left untouched. The main goal of this course is to make you learn and understand the exact math and programming techniques used in Machine Learning algorithms. Once you have that knowledge, you can easily build your projects and applications. By the end of the course, you will be ready to enter the world of Machine learning in any sub-discipline.

Key Highlights:

  • You will learn to assemble Machine Learning algorithms from scratch.
  • Understand how Machine Learning works without relying on mysterious libraries.
  • Moreover, you will build very interesting applications using Javascript and Machine Learning techniques.
  • Use the low-level feature of Tensorflow JS to supercharge your algorithms.
  • 185 lectures- 2 articles – 1 downloadable resource

Duration: 17.5 hours 

Star Rating: 4.6/5 

Students Enrolled: 17,874

Click here to SIGNUP

6. Complete Machine Learning and Data Science: Zero to Mastery

Want to become a complete Data Scientist and a Machine Learning Engineer? Then join one of the most modern updated Data science and Machine Learning courses on Udemy. In this course, you will be introduced to all the modern skills of a Data scientist and along with that you will also build many real world projects which you can add to your portfolio. This course will solve all the biggest challenges you will face while entering the field of Data Science and Machine Learning with all the necessary resources provided here. Moreover, you will get access to all the code, workbooks and templates on Github which you can add to your portfolio right away.

Key Highlights

  • In this course, you will master Machine Learning and can become a professional Data Scientist.
  • You will learn Deep Learning, Transfer Learning and Neural Networks using the latest version of Tensorflow.
  • Also, you will use modern tools used by big companies such as Google, Apple, Amazon, and Facebook.
  • Implement Machine Learning algorithms.
  • Moreover, you will learn how to program in Python 3 and much more
  • 365 lectures- 47 articles- 13 downloadable resources- full lifetime access

Duration: 42.5 hours

Star Rating: 4.6/5

Student Enrolled: 16,759

Click here to SIGN UP

7. The Data Science Course 2020: Complete Data Science Bootcamp

Data Scientist is one of the best rising professions today.  Most of the online courses focus on only a single skill in Data Science so it becomes difficult to understand how that skill fits in the complete picture. The best part of this course is it covers all the topics of Data Science step-by-step so you will get to know how the previous topic is related to the next one. In other terms, this course is the most effective, time-saving and structured data science course available on Udemy.

Key Highlights:

  • This course provides you with the entire toolbox you need to become a Data Scientist.
  • You will understand the mathematics behind Machine Learning.
  • Moreover, you will be able to create Machine Learning algorithms in Python using NumPy, SciKit-learn and many statsmodels
  • You will study underfitting, overfitting, validation, training to improve machine learning algorithms.
  • Start coding in Python and also learn to use statistical analysis.
  • 471 lectures – 90 articles – 153 downloadable resources 

Duration: 28.5 hours

Star Rating: 4.5/5

Students Enrolled: 243,659

Click here to SIGN UP

8. Machine Learning Practical: 6 Real-World Applications

You will find tons of courses online about the underlying theory of Machine Learning which won’t go in depth into the applications, So are you ready to apply all theories to real life Machine Learning challenges? Then Sign up to “ Machine Learning Practical” on Udemy. This course is taught by the best industry professionals in their unique styles. Here you will get to know how real Data Science projects look like. In short, in this course, you will learn Machine Learning through practice and succeed in the real world of Data Science.

Key Highlights

  • In this course, you will learn how a real Data Science project looks like.
  • You will learn how to chain multiple Machine Learning algorithms together
  • Moreover, you will learn the most advanced Data Visualization techniques with Matplotlib and Seaborn.
  • By the end of this course, you can call yourself Machine Learning Practioneed and apply confidently for Data Scientists jobs.
  • 82 lectures- 3 articles-full lifetime access

Duration: 8.5 hours

Star Rating: 4.3/5

Students Enrolled: 11,123

Click here to SIGN UP

9. Data Science: Supervised Machine Learning in Python

The most amazing thing about this course is that it not only just focuses on “ how to use” but also on “ how to build and understand” the Machine Learning algorithms. In this course, you will learn how to visualize what is happening in the model internally. You will learn all the algorithms and advanced topics in Machine Learning. If you are someone looking for a superficial look at Machine Learning models then this the perfect course for you.

Key Highlights:

  • In this course, you will implement machine learning web service.
  • Understand and implement K Nearest Neighbors and Naive Bayesian  in Python.
  • Also use KNN to solve several binary and multiclass classifications issues.
  • Moreover, you will understand plus and minus points of classic Machine Learning and Deep Learning.
  • Use Sci-Kit learn and much more
  • 52 lectures- full lifetime access

Duration: 6 hours 

Star Rating: 4.6/5

Students Enrolled: 14,534

Click here to SIGN UP

10. Deployment of Machine Learning Models

Want to deploy your first Machine Learning Model? Then this course can be added to your list. This course is suitable for the intermediate and advanced data scientists. This is the only course on udemy where you will learn how to deploy machine learning models. In this course, you will learn every aspect to put your model in production. Throughout the course you will be taught step by step to deploy machine learning models professionally. Moreover, you will be provided a project template with full code which you can use to deploy your models.

Key Highlights

  • In this course, you will learn to deploy machine learning models in the cloud.
  • You will also build machine learning model APIs
  • Send and Receive requests from deployed machine learning algorithms.
  • Furthermore, you will design a testable version-controlled and reproducible production code for deployment.
  • Understand the optimal machine learning architecture and build reproducible machine learning pipelines.
  • 145 lectures-29 articles- 68 downloadable resources -full lifetime access

Duration: 9 hours

Star Rating: 4.5/5 

Students Enrolled: 8,757

Click here to SIGN UP

So start learning machine learning today, find your best course on Udemy. We have listed the top 10 best Machine Learning courses on Udemy [2020] for all levels of learners. These courses are comparatively affordable, provide foundational knowledge and a worthwhile investment of your time and money.

Leave a Reply

Your email address will not be published. Required fields are marked *