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6 Best Online Python Machine Learning Courses & Tutorials of 2020

Python Machine Learning Courses

It is incredibly difficult to meet the requirements for students with so many Python Machine Learning courses. Learners often ask if each scenario has a course in Python Machine Learning. The answer is YES. Below you can find popular courses. Registration for the correct course is an important element in your career development. In this article, experts selected the best courses in Python Machine Learning in 2020.

Highlighting the best-known courses in all categories is the main objective.

Based on your preferences, select one that best suits your needs. But let us look at the best courses on the market for Python Machine Learning.

1. Applied Machine Learning in Python (Coursera)

Duration: 24 hours, 8 hours per week

Rating: 4.6 out of 5

This course takes a straightforward approach to clarify the basic terms and strategies behind the ideas. Early lessons discuss the dimensionality of data, how to cluster and apply predictive modeling methods based on the problem. Take a look at some of the advanced topics and their limits.

Key Highlighted:

  • Read about the scikit toolkit by following the tutorial.
  • Understanding the difference between ML and statistical models.
  • The curriculum can be audited free of charge and an additional fee may be added to the verified certification.
  • Define data sets characteristics and determine which technique to use.
  • Write Python ‘s successful code to evaluate problems and relevant engineering features.

You can Sign up Here

2. Machine Learning with Python (Coursera)

Duration: 5 to 6 weeks of study, 3 to 6 hours per week

Rating: 4.7 out of 5

If you want to continue in the field of machine learning then this is a great place to start. Divided into two parts, the lessons explore first the significance of this field and how it can be used to solve some of the world’s most serious problems. You will then discuss some fundamental topics, such as supervised and unsupervised learning, algorithms and ML model evaluation.

Key Highlighted:

  • Guidance is provided to configure the tools required to follow the lectures.
  • Talk about problems with classification, clustering and regression.
  • Hundreds of examples and presentations focused on scenarios from the real world.
  • Complete all graduated assessments to receive both an IBM digital badge and the completion certificate.
  • Create your portfolio by working on different projects.

You can Sign up Here

3. Machine Learning with Python (DataCamp)

Duration: 20 hours

Rating: 4.5 out of 5

Mainly geared to beginners, this track provides a brief overview of one of artificial intelligence’s most popular fields. Start by designing and building predictive models on datasets, classify data and develop innovative ways of dealing with problems in real time. After you have done this, you will have a strong foundation to allow you to take advanced courses and improve marketable job skills.

Key Highlighted:

  • Get the instructor ‘s best practices and advice and integrate them into your development process.
  • Immersive lessons make learning an enjoyable experience.
  • Continue to use the appropriate methods to improve the latest techniques.
  • During the trial period, access the free lessons to check whether it suits your learning style.
  • The course consists of five courses with a growing degree of difficulty.

You can Sign up Here

4. Python for Data Science and Machine Learning Bootcamp (Udemy)

Duration: 22.5 hours

Rating: 4.5 out of 5

If you have some previous coding experiences and to use the knowledge to help your career as a data scientist, you will be directed by this course. During the lessons, you will begin to understand how to evaluate and visualize data and implement Python machine learning algorithms. People will be able to apply for their dream work or to take advanced certifications by the end of the lectures.

Key Highlighted:

  • Each video has code notes to help you gain a deeper understanding of the subject.
  • Get to know software and tools like Pandas, SciKit-Learn, Seaborn.
  • Address subjects such as processing natural language processing, neural networks, regression, plotting.
  • Enrol at an affordable rate in the course.
  • 149 readings + 10 posts + 4 tools for download + Complete lifetime access

You can Sign up Here

5. Machine Learning Certification Training using Python (edureka!)

Duration: 6 weeks

Rating: 4.4 out of 5

Through this training course, you can learn all the main concepts, including time series, random forests, decision trees, fundamental jargons and algorithm classes. Because the material presented in the lectures is strongly focused, you can move on to real-life case studies and explore how these issues are tackled on a daily basis.

Key Highlighted:

  • Learn about reinforcement learning and time series.
  • All the ideas are explained from the beginning so no previous knowledge is needed.
  • The simple response to questions and doubts.
  • Consider the subject ‘s significance and automatically analyze data using Python.
  • Work with real-time data and get to know the predictive modeling methods.
  • Make predictions for future developments based on the parameters derived from the datasets.

You can Sign up Here

6. Intro to Machine Learning (Udacity)

Duration: 3 months, 10 hours per week

Rating: 4.5 out of 5

Machine learning is among the fast-growing areas, but beginners can certainly be intimidated to get an understanding of the field. This nanodegree program is here to guide you throughout the entire process, from data manipulation and analysis to the implementation of algorithms. You should have an intermediate level of programming experience in Python to make the most of the content covered.

Key Highlighted:

  • All the lessons are accompanied by projects that allow you to incorporate and apply the theory covered.
  • Get guidance in the whole program from the one to the mentor assigned to you.
  • Join the student community to connect and share thoughts with your peer.
  • Access to sessions to help you prepare for and beyond interviews.
  • The program is designed to suit your everyday routine.

You can Sign up Here

Wrapping Up

This is the list of the 6 Best Online Python Machine Learning Courses & Tutorials of 2020. They are popular and loved by many experienced Machine Learning learners. You will find between these courses what you need to learn in order to continue your Machine Learning learning journey.

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