Machine Learning Pipeline Free Course

Machine Learning Pipeline

star 4.53  Intermediate level 3.0 learning hrs 4.5K+ Learners

Take free Machine Learning Pipeline course & learn to solve real world problems in various domains.

Instructor:

Dr. Sunil Kumar

Key Highlights

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About this course

Machine learning is one of these domains that is aiming to solve problems in almost all of the other domains out there. The applications of Machine Learning are nearly endless as is and the list just keeps growing. Since the domain is trending with regards to how easy it is able to solve multiple problems, it becomes key that you as a learner are aware of how best you can put these algorithms to use and solve real-world problems. Keeping exactly this in mind, we here at Great Learning have come up with this course helping you understand the Machine Learning pipeline in detail and further reinforce the concepts of how you could use it to solve real-world problems in multiple domains.
 

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Course outline

Introduction to Machine Learning and Linear Regression

Data is the soul of Machine Learning, and there are specific methods to deal with it efficiently. This module first introduces Machine Learning and talks about the mathematical procedures involved. You will learn about supervised and unsupervised learning, Data Science Machine Learning steps, linear regression, Pearson's coefficient, best fit line, and coefficient of determinant. Lastly, you will be going through a case study to help you effectively comprehend Machine Learning concepts. 

 

Introduction on Machine Learning Pipeline

Data Preparation

Formatting Data

Data Transformation

Setting up the Code

Building the Models

Analyzing the Models

Get access to the complete curriculum once you enroll in the course

Machine Learning Pipeline

rating icon 4.53

3.0 Hours

Intermediate

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4.5K+ learners enrolled so far

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Learner reviews of the Free Courses

4.53
72%
19%
8%
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1%
Reviewer Profile

4.0

Country Flag India
“Learn the Basics of ML, Including Data Preparation, Feature Engineering, and Various Algorithms. Focus on Model Training, Evaluation Metrics, Hyperparameter Tuning, Practical Applications, and Ethical Considerations Using Python Libraries.”
Learn the basics of ML, including data preparation, feature engineering, and various algorithms. Focus on model training, evaluation metrics, hyperparameter tuning, practical applications, and ethical considerations using Python libraries.
Reviewer Profile

4.0

Country Flag India
“"Top-notch ML Fundamentals Course"”
The "ML Pipeline" course offers a comprehensive guide to building end-to-end machine learning workflows. It covers data preprocessing, model training, evaluation, and deployment. Clear explanations and practical examples make it accessible for beginners, while advanced topics provide depth for experienced users. Highly recommended for anyone looking to master ML pipelines.
Reviewer Profile

5.0

Country Flag United Kingdom
“Machine Learning pipeline, Data collection,Data preprocessing, Feature Engineering,Model training,Model evolution,Model deployment ”
Some option from learn great learning _Option 1:_ "ML pipeline: Define, Collect, Preprocess, Train, Deploy, Maintain." _Option 2:_ "ML: Problem > Data > Model > Train > Deploy > Maintain." _Option 3:_ "ML pipeline in 6 steps: Define, Collect, Train, Evaluate, Deploy, Maintain."
Reviewer Profile

4.0

Country Flag India
“Machine learning feedback typically refers to the process of evaluating and improving machine learning models based on their performance. ”
Model Evaluation: After training a machine learning model, feedback comes from evaluating its performance on a test dataset (which it hasn't seen before). Common metrics include accuracy, precision, recall, F1 score, or mean squared error, depending on the type of problem (classification, regression, etc.). Hyperparameter Tuning: Based on performance feedback, you might adjust hyperparameters (e.g., learning rate, number of layers in a neural network) to improve model accuracy. This is an iterative process. Cross-Validation:
Reviewer Profile

5.0

Country Flag India
“Amazing Course with Clear and Thorough Explanations! I Absolutely Loved It.”
I found the machine learning course to be highly informative and well-structured, providing a solid foundation in essential topics like supervised and unsupervised learning, feature engineering, and model evaluation. The practical exercises and hands-on projects were particularly valuable, allowing me to apply concepts in real-world scenarios.

What our learners enjoyed the most

Our course instructor

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Dr. Sunil Kumar

GM - Engineering Innovation

Machine Learning Expert

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4.5K+ Learners
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1 Courses

Dr Sunil has a PhD in computer science (specializing in machine learning and natural language processing). He is an AI researcher with 15+ years of industry experience. Prior to joining one of the world's renowned logistics firm. He was with the AI Center of Excellence.
He has published several research papers in Scopus, IEEE journals and is a regular speaker at various meet-ups. He also has a book published this year by Packt publishers, UK called 'R Machine Learning Projects'. He is an avid coder and has won multiple hackathons in his spare time.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

Will I get a certificate after completing this Machine Learning Pipeline free course?

Yes, you will get a certificate of completion for Machine Learning Pipeline after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Machine Learning Pipeline course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Machine Learning Pipeline can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Machine Learning Pipeline course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Machine Learning Pipeline course?

Great Learning Academy provides this Machine Learning Pipeline course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Machine Learning Pipeline course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free Machine Learning Pipeline course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.

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