Best Python Machine Learning Courses & Certification

  • Post last modified:30 October 2021
  • Reading time:12 mins read

As per the report, there has been a 74 % average annual growth rate in the jobs created for AI and Machine Learning Professionals since 2015. AI and ML specialists will remain among the top jobs profiles in 2021. If you want to become a machine learning engineer, you have come to the right place.

Today, I have prepared a well-compiled list of the Best Python Machine Learning Courses and Certifications for you. If you are a beginner in machine learning, I would like you to check the bunch of Best Machine Learning courses to start your journey.


Best Python Machine Learning Courses

Machine Learning with Python [Coursera]

Machine Learning is the hottest technology to start learning in this era of Artificial Intelligence. Coursera designed a perfect opportunity to dive into the world of Machine learning and how it is changing the real world. This Machine Learning with Python Course will teach you the basics of Machine Learning and how it is implemented in different fields such as banking, health care, telecommunication, and health care. You will understand how to use Python libraries in machine learning algorithms and building machine learning models.

This IBM Machine Learning Professional Certificate is taught by the two data scientists – Saeed Aghbozorgi and Joseph. They created the course for students to get a general overview of how Machine Learning is used for cancer detection, predicting economic trends, and customer churns. It will enable you to improve your skill sets by adding Python to your portfolio.

Key Highlights & USPs

  • Learn the purpose of Machine Learning and topics such as supervised vs unsupervised learning.
     
  • Get a brief introduction about regression and how to apply it for evaluating machine learning models.
  • Learn about different classification algorithms such as KNN, Decision Trees, Logistic Regression, and SVM.

  • How to use clustering for real-life problems and understand three main types of clustering including partitioned-based, Hierarchical, and Density-based clustering.

  • Discover how recommended engines work for Google, Youtube, or any content-based site. What is Content-based and collaborative filtering?

  • You get to perform what you have learned on real-life examples.

Who is it for?

This Machine Learning Python Course is for Data Analysts and Python programmers who are eager to specialize in Machine Learning and earn an IBM digital badge upon successful Completion. You can enroll in this course for free but with intermediate-level knowledge of Python.

Rating: 4.7/5
Students Enrolled: 229,533
Duration: 21 hours

You can Sign up Here

Applied Machine Learning in Python [Coursera]

Coursera Machine Learning Python Course introduces you to machine learning techniques and methods. You will learn how Machine Learning is descriptive than Statistics and how to use Scikit learn toolkit. You are going to learn basic concepts like clustering, regression. Then, you will end this course with advanced techniques such as building ensembles and predictive models. You will be able to identify the difference between supervised and unsupervised learning.

Kenny Collins is the creator and instructor of this Applied Machine Learning in Python who will guide you all the way. It is designed to understand how to identify which technique you need to apply for particular datasets. Before taking this course, I recommend you to take Applied Data Science with Python Course on Coursera for better understanding.

Key Highlights & USPs

  • Learn the fundamentals of Machine Learning, tasks, and workflow using the Python Scikit learn library.

  • How supervised learning methods work with both classification and regression.

  • Discover different approaches for creating predictive models.

  • Understand how to evaluate and optimize the performance of your machine learning models.

  • Learn about the critical problem of data leakage in Machine Learning and how to detect it.

  • Build features using Python programming to carry out data analysis.

Who is it for?

This Machine Learning with Python Free Course is for data scientists and programmers who are interested enough to enhance their job profile and prove their competency. You will earn a shareable certificate upon completion.

Rating: 4.6/5
Students Enrolled: 241, 480
Duration: 34 hours

You can Sign up Here

Python for Data Science and Machine Learning Bootcamp [Udemy]

This Python Data Science and Machine Learning Bootcamp offer you the top-recommended Machine learning tools and Python libraries such as Pandas, Seaborn, Numpy, Scikit-Learn, TensorFlow, etc. You will learn about the general-purpose programming language and its use in analyzing data, creating a visualization, and writing algorithms for machine learning. This Data Science with Python course covers all the topics to get a deep knowledge of how data science and how machine learning uses Python to solve the world’s problems.

Jose Portilla is the author and instructor who included each piece of information to enhance your knowledge. It is packed with hundreds of HD video lectures and detailed code notebooks for every lecture. This Comprehensive program has both beginner and intermediate-level courses to learn how Python libraries for Data Science works.

Key Highlights & USPs

  • Learn to use Pandas for Data Analysis and Seaborn for statistical plots.

  • Develop an understanding of machine learning fundamentals such as logistic regression, neural networks, linear regressions, and so on.

  • Learn How to use Scikit-Learn for machine learning tasks.

  • Use Python’s libraries like Matplotlib and Seaborn for Data Visualization.

  • Create in-built interactive and dynamic visualization to visualize patterns in datasets.

  • Understand Natural Language Processing and Spam filters to work with machine learning models.

  • Get full lifetime access to 25 hours of on-demand video, 13 articles, and five downloadable resources.

Who is it for?

It is an intermediate-level Python Course that requires at least some programming experience. It is one of the Best Python Machine Learning Courses to get a rewarding career in Data science and machine learning. You will earn a certificate of completion that can be shared and used to showcase your expertise.

Rating: 4.7/5
Students Enrolled: 481, 143
Duration: 25 hours

You can Sign up Here

Machine Learning with Python [DataCamp]

This Machine Learning with Python Tutorial offers you a must-learning opportunity to dive into the world of Machine Learning. You will get started with Machine Learning fundamentals in Python. In this track, you will introduce the two main types of machine learning methods such Supervised learning including classification and regression, and Unsupervised learning including clustering, dimensionality.

Datacamp Machine Learning with Python course will be taught by several instructors from data science and Machine learning background. It is prepared to sharpen your skills and strengthen your profile to participate in this emerging industry. It comprises five courses to give you a good career start.

Key Highlights & USPs

  • Learn how to build predictive models using Supervised Learning.

  • Evaluate machine learning models using Scikit Learn Python Library to see how well they perform.

  • Know how to use unsupervised learning methods in Python for clustering, transforming, visualizing, and extracting data. From unlabeled datasets.

  • Grasp a firm knowledge of linear classification like logistic regressions and SVM.

  • Introduce Deep Learning using Keras 2.0 and the fundamentals of neural networks design.

  • Gain practice experience by building a model to automatically classify items in a school budget.

Who is it for?

Any Professional or data scientist can opt for this course to enhance their resume and look out for better job opportunities. This top machine learning python course will require an intermediate-level knowledge of Python. You can enroll without spending a single Penny.

Rating: 4.4/5
Duration: 20 Hours

You can Sign up Here

Intro to Machine Learning [Udacity]

Udacity is the most recommended platform to kickstart your career in Machine Learning. You will learn important aspects of machine learning, starting from data manipulation to unsupervised and supervised algorithms. You will get practical experience by applying your programming skills to hands-on projects.

Intro to Machine Learning Program created to write algorithms and perform machine learning tasks under the guidance of instructors and machine learning experts. You are going to learn about how to use Python’s library -Pytorch for Machine Learning.

Key Highlights & USPs

  • Learn Python Skills and write your codes for machine learning models.

  • How to use supervised learning and common class methods for model construction.

  • Introduce you to deep learning concepts and neural network design.

  • Get the training in Pytorch for writing codes for machine learning models.

  • Implement unsupervised learning methods for different kinds of real-world problems.

  • Apply acquired skills on projects and code exercises to improve performance.

Who is it for?

This Udacity Machine Learning Python Tutorial is intended for students with intermediate-level Python programming skills and a little bit of knowledge of Machine Learning. If you are not a Python programmer, you can check this link of the Best Python Online Course for Beginners.

Rating: 4.7/5
Duration: 3 Months

You can Sign up Here

Machine Learning Certification Training using Python [Edureka]

Edureka Python Machine Learning Certification is the ultimate pack of gaining valuable expertise to become a part of the high-in-demand profession. It covers all the aspects of Machine Learning such as regressions, clustering, decision trees, and more. This Machine Learning using Python Course includes all the different classes of machine learning algorithms like supervised, unsupervised. You will get to solve real-life case studies related to social media, health care, the Aviation industry, etc.

Edureka created this Machine Learning Certification Training using Python for Analysts, data scientists, and programmers to improve Python skills by writing algorithms for machine learning. The main goal of this course is to introduce data science to Machine Learning and see how it helps to analyze data.

Key Highlights & USPs

  • Learn the importance of Machine learning and how to implement Python programming language.

  • Discover how to automate real-life scenarios using machine learning algorithms.

  • Learn machine learning techniques and methods for predictive modeling.

  • Get a brief on Reinforcement learning which is an important aspect of Artificial Intelligence.

  • Develop knowledge about time series analysis to forecast dependent variables based on time.

  • How to convert weaker algorithms to stronger ones.

  • Understand how to approach a project and implement a Project end to end.

Who is it for?

This Best Machine Learning Course is for aspiring machine learning engineers, data analysts, information architects, python programmers to gain expertise. The prerequisites for this Machine Learning Training Course include intermediate-level experience with Python and know the fundamentals of Data Analysis beforehand. In the end, you will earn a certificate of completion.

Rating: 4./5
Duration: 6 Weeks

You can Sign up Here

Machine Learning with Python: A Practical Introduction [edX]

IBM Machine Learning Professional Certificate will be beneficial for you to learn how to uncover hidden insights and predict future trends. You will get to use machine learning tools to automate real-world tasks. It is the best time to study Data Science and Machine Learning for making better business decisions. You can get started with the fundamentals of Machine Learning concepts such as regression, classification, and recommended systems. You will study suitable Python libraries for machine learning.

Dr. Saeed Aghabozorgi is a data scientist to teach you this Machine learning with Python tutorial. He designed the course to motivate the students to take Machine Learning as a rewarding career and enhance their skill sets to get high-paying jobs.

Key Highlights & USPs

  • Learn about the two types of Machine learning Methods – Supervised and Unsupervised Learning.

  • You will know about the difference between Supervised and Unsupervised Learning.

  • Discover two main methods of Supervised Learning – Classification and Regression.

  • How to use Clustering and Dimensionality to write Unsupervised learning algorithms.

  • Get an overview of how statistical modeling relates to Machine Learning and what is the main difference between them.

  • Gain practical experience by working on how content-based and collaborative filtering are used for recommended engines.

Who is it for?

It is an intermediate-level machine learning course for professionals and Python programmers familiar with basic Python and knowledge of probability. You can take the Best Python for Data Science course before enrolling in this certificate program. You will receive a digital and verifiable IBM badge to profile the skills you acquired upon completion.

Rating: 4.4/5
Students Enrolled: 109,204
Duration: 5 weeks, 4-6 hours per week

You can Sign up Here


FAQ Section

How can I learn Python machine learning myself?

You don’t need to be a math genius or the world’s best programmer to learn machine learning using Python. Whether you aim to become a data scientist or ML expert, you can adapt to Machine learning without much experience in programming. You certainly don’t have to spend thousands on learning Python machine learning. These Best Python for Machine Learning Courses are free to enroll in and become a part of this rewarding career.

Where can I learn Python for machine learning?

You can learn Python for Machine Learning Online from popular websites like Coursera, Udemy, Udacity, and many more. You can also check Geektonight for courses related to Machine Learning, Python, Data Science, and many more.

Is Python good for Machine Learning?

Yes, Python is the best language for Machine learning. Python is the most popular and versatile programming language used for Artificial Intelligence. Python libraries and packages reduce the effort for developers to code from Scratch. Machine Learning requires a lot of data processing time. That’s why Python libraries are the favorite tools for programmers to access, handle and transform data. Its flexibility saves the time to recompile the source code, helps to implement changes, and quickly gets the desired results.

Is Machine Learning a good career?

Yes, Machine learning is a good career. Machine Learning Engineers are in great demand with a basic salary of $150 K. If you’re excited about automation, data, and writing algorithms, Machine Learning is the right career choice for you. It is also a promising career option. There are so many professions you can adopt within the Industry. You can become a Data Scientist, Machine Learning Engineer, Data Scientist, NLP Scientist, Business Intelligence Developer, or Human-Centered Machine Learning Designer. It is a lucrative job opportunity because People with machine learning Python skills are in high demand and rare to find.

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