Free Course on Machine Learning Using Python

Python for Machine Learning

star 4.51  Beginner level 2.25 learning hrs 467.3K+ Learners

Secure a score in the leading technology domains by taking this Python for Machine Learning course. Master NumPy and Pandas tools and techniques for arrays, intersection, objects, and functions for free online.

Instructor:

Mr. Bharani Akella

Key Highlights

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About this course

The Python Programming for Machine Learning course shall focus you on the elements and features available in Python programming for Machine Learning tasks, along with a few demonstrated samples. It shall begin with introducing you to the NumPy library and continue with helping you understand its arrays, intersection, differences, loading, and saving as you follow the first half of the course.

 

The second part engages you by covering Pandas library and its objects, dataframes, and functions. Take up the quiz at the end of the course to test your skills and evaluate your gains to secure your certificate. 

 

Enroll in the Machine Learning course and embark on your career with the professional Post Graduate certificate. After this free, self-paced, beginner's guide to Python for Machine Learning, you can escalate your learning to different concepts in Machine Learning in depth with millions of aspirants across the globe!

 

Great Learning offers a free course on Python for machine learning. This course provides comprehensive coverage of the fundamentals of Python programming for data science, machine learning and AI. It includes topics such as Python data structures, functions, classes, file handling, web scraping, data visualization, machine learning algorithms, deep learning, and more. 


The course covers the fundamentals of Python and its use in the context of data science and machine learning. It also covers the basics of supervised and unsupervised learning, and helps students gain a strong understanding of the principles of data science and machine learning. The course provides hands-on experience and code examples to help learners understand complex concepts and apply them in a practical setting. With this course, learners can gain a deep understanding of the Python programming language and its potential applications in data science and machine learning. 

Course outline

Intro to Numpy

In this section, you will be introduced to the NumPy library to add functions and methods to the program without actually writing the code.

Joining NumPy Arrays

There are three different modules to join Numpy arrays: vstack, hstack, and column stack. You will learn all these methods one by one in this module. 
 

Numpy Intersection & Difference

We shall understand what sect difference and intersection are at the beginning of this section. We shall then understand how to extract the exact elements by excluding other elements from the array with demonstrated code snippets.

Numpy Array Mathematics

This section will explain and demonstrate working with various mathematical operations using arrays like sum, increment, mean and median.

Saving and Loading Numpy Array

We will understand how to load and store a NumPy array in this section. We shall learn to work with arrays, starting from creating a NumPy array to storing and loading it with demonstrated sample codes.

Intro to Pandas

We shall understand Panel Data for data manipulation and analysis in Python. 

 

Pandas Series Object

We shall understand one-dimensional labeled arrays in this section. We will learn to import the Pandas library, create a series object using the inbuilt data type, and work with it with demonstrated code snippets.

Intro to Pandas Dataframe

After understanding the basics of Pandas Dataframe, you will learn to work with it through a sample demonstration in this section. 

 

Pandas Functions

We shall discuss the Pandas functions like mean, median, maximum, and minimum in this section. We shall also understand working with different methods for each of these functions.

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Python for Machine Learning

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2.25 Hours

Beginner

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467.3K+ learners enrolled so far

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Learner reviews of the Free Courses

4.51
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Reviewer Profile

5.0

“The Python Course Was Well-Structured and Informative, Offering Clear Explanations That Enhanced My Programming Skills Effectively”
The Python course exceeded my expectations with its comprehensive content and engaging format. The instructor provided clear explanations and practical examples, which made complex concepts easy to understand. The hands-on exercises reinforced my learning, allowing me to apply my skills effectively. Overall, it was an enriching experience that significantly boosted my programming confidence.
Reviewer Profile

5.0

Country Flag India
“An Engaging Introduction to Python for Machine Learning”
This course provided a fantastic introduction to machine learning concepts through Python, blending theory with practical exercises that reinforced learning at every step. I appreciated how complex ideas were broken down into understandable parts, with ample real-world examples and projects to apply what was taught. The step-by-step approach to data preprocessing, model building, and evaluation made it easy to follow along and grasp each concept. Overall, it's an excellent resource for anyone looking to enter the field of machine learning with a solid Python base.
Reviewer Profile

5.0

Country Flag India
“Python for Machine Learning by Great Learning”
The "Python for Machine Learning" course at Great Learning offers an excellent foundation for anyone looking to explore the world of machine learning. The course provides a deep dive into Python programming, specifically tailored to the needs of machine learning applications. It covers key concepts such as data preprocessing, model building, and evaluating machine learning algorithms, using libraries like Pandas and NumPy. The course structure is well-organized, making it ideal for both beginners and those with some prior experience in Python.
Reviewer Profile

5.0

Country Flag India
“The Course Was Well-Structured and Easy to Follow. The Instructor Was Knowledgeable and Engaging.”
The course was well-structured and easy to follow. The instructor was knowledgeable and engaging. The course material was relevant and up-to-date. The assignments were challenging but fair. The discussions were insightful and thought-provoking.
Reviewer Profile

5.0

“The Python Course Was an Incredibly Rewarding Learning Experience. It Provided a Strong Foundation in Programming Concepts and Allowed Me to Gain Experience with Real-World Applications”
The Python course was an incredibly rewarding learning experience. It provided a strong foundation in programming concepts and allowed me to gain hands-on experience with real-world applications. I started by learning the basics—variables, data types, loops, and conditionals—before progressing to more advanced topics like object-oriented programming, file handling, and libraries like NumPy and Pandas for data analysis.
Reviewer Profile

5.0

“The Curriculum is Easy to Follow and Quizzes are Designed in a Good Way”
I really appreciated how well-organized the curriculum was. The clear progression of topics made it easy to understand each concept before moving on to the next. Additionally, the practical examples helped reinforce the material, making it more engaging and relatable. The resources provided were also very helpful in deepening my understanding. Overall, it was a great learning experience!
Reviewer Profile

5.0

Country Flag Indonesia
“Instructor, Topic Depth, Easy to Follow”
The instructor demonstrated a strong understanding of the topic, presenting complex concepts in a clear and engaging manner. The depth of coverage allowed for a thorough exploration of the subject, while the pacing was well-suited for learners at various levels. The use of practical examples and visual aids made the material easy to follow, enhancing comprehension. Overall, the instructor's ability to break down intricate ideas into digestible segments contributed significantly to a positive learning experience.
Reviewer Profile

5.0

“Engaging and Comprehensive Learning”
I really enjoyed the quizzes and assignments as they provided a practical and hands-on approach to the learning material. The content was easy to follow, and the examples used were relevant and clear. It was particularly helpful to have structured feedback on my answers, which allowed me to understand the concepts better. The interactive format kept me engaged throughout the learning process.
Reviewer Profile

5.0

“Engaging and Informative Learning Experience”
The course provided a clear and structured approach to learning Python concepts, with well-designed quizzes and assignments that reinforced the material effectively. I particularly appreciated the practical examples and the focus on real-world applications. However, more detailed explanations in some sections would enhance the experience further. Overall, it was an excellent course for beginners and intermediate learners.
Reviewer Profile

5.0

Country Flag United States
“The Python for Machine Learning Certification is an Excellent Resource for Anyone Looking to Break into the Field of Machine Learning with a Strong Foundation in Python”
This certification strikes a great balance between theory and application, making it ideal for students, professionals, and anyone seeking to understand machine learning concepts through Python. While there’s room for improvement, the course delivers significant value and is a worthy investment in building foundational skills for a career in AI or data science.

What our learners enjoyed the most

Our course instructor

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Mr. Bharani Akella

Data Scientist

Machine Learning Expert

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4.9M+ Learners
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125 Courses
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

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.

What are the prerequisites required to learn the Python for Machine Learning course?

Python for Machine Learning is a beginner's course, and you can begin the course with good knowledge of Python programming. However, if you are not familiar with it, we have a free Python fundamentals course that will clear your prerequisites.

Will I have lifetime access to this free course

Yes, once you enroll in the course, you will have lifetime access to this Great Learning Academy's free course. You can log in to the course and learn whenever you want to. 

 

What are my next learning options after this Python Programming for Machine Learning course

Once you complete this free course, you can opt for a Post Graduate Program in Artificial Intelligence and Machine Learning that will help advance your career growth in this leading field.

 

 

Is it worth learning Python Programming for Machine Learning?

Yes, it is beneficial to learn Python for Machine Learning. Machine Learning being one of the leading technologies in the world today, the market for machine learning professionals only grows every day. If you are thorough with Python programming, it serves as a one-stop to efficiently carry out many functions and operations using Python libraries such as Pandas, NumPy, and Matplotlib tasks in Machine Learning efficiently. 

 

What is Python programming in Machine Learning used for?

Python programming language has libraries and packages that make it straightforward and easier for the programmers to work on certain functions, operations, and tasks in Machine Learning. Also, elements like arrays, objects, intersects, dataframes, loading, and storing make the task more efficient in handling data.  

 

 

Why is Python for Machine Learning so popular?

Python is a user-friendly programming language that can be used to work with many tasks using in-built libraries such as Pandas, NumPy, and Matplotlib. The essential mathematical functions, loading, and storing operations are carried out by any machine learning professional to understand and work with data. Python provides inbuilt libraries and packages to carry out these functions more efficiently, making it a popular tool for Machine Learning purposes. 

 

 

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

Yes, you will get a certificate of completion for the Python for Machine Learning course after completing all the learning modules and cracking the quiz/assessment. The assessment helps test your knowledge on the subject and badges your skills. 

 

What knowledge and skills will I gain upon completing this course?

You will gain the foundational knowledge of using Python Programming for Machine Learning tasks through this course. You will get familiar with arrays, intersect, difference, objects, series, dataframes, and functions concepts using Python programming for Machine Learning upon completion. 

 

How much does this Python for Machine Learning course cost?

This is an entirely free course from Great Learning Academy. Anyone interested in learning Python programming for Data Machine Learning and understanding its basics 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 Python for Machine Learning course, you have lifetime access to it. So, you can log in to this course anytime and learn it at your pace for free online. 

 

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

Yes, you are free to enroll in as many courses as you want from Great Learning Academy. There is no stricture on the number of courses you can enroll in at once. The courses offered by Great Learning Academy are free, so we suggest you learn one by one to get the best out of them. 

 

Why choose Great Learning Academy for this free R for Data Science course?

Great Learning is an educational technology platform dedicated to the development of talented professionals around the world. Great Learning Academy is a project of Great Learning that offers free online courses to help people advance in their careers. Over 4 million students from 140 countries have benefited from Great Learning Academy's free online courses with completion certificates. It's a one-stop-shop for all of a student's requirements.

This course is not only free and self-paced, but it also includes solved questions, proven solutions, and presented examples to help you grasp the subject's many facets. The course is taught by subject matter specialists and is specifically designed for both beginners and professionals.

 

Who is eligible to take this course?

Anybody with basic knowledge of computer science, Machine Learning, with a good hold on Python Programming, interested in learning Python concepts to work with Machine Learning tasks, and understanding its basics can take up the course. So, enroll in our course today and learn it for free online. But if you are not already familiar with the prerequisite, enroll in our free machine learning course before taking up this course. 

 

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

Enrolling in Great Learning Academy's Machine Learning with Python is a simple and straightforward approach. You will have to sign-up with your E-Mail ID, enter your user details, and then you can start learning at your own pace. 

 

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