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Free Course on Machine Learning Using Python
Python for Machine Learning
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 AkellaPython for Machine Learning
465K+ learners enrolled so far
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Skills you will gain
NumPy Arrays
NumPy Operations
NumPy Math
Saving & Loading NumPy
Pandas Series
Pandas DataFrame
Pandas Functions (Mean
Median
Max
Min)
Data Manipulation
Supervised Learning
Unsupervised Learning
Machine Learning with Python
+9 More
Key Highlights
Get free course content
Master in-demand skills & tools
Test your skills with quizzes
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.
Get access to the complete curriculum once you enroll in the course
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Python for Machine Learning
4.51
2.25 Hours
Beginner
465K+ learners enrolled so far
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Master Data Science & Machine Learning in Python
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Learner reviews of the Free Courses
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Skill & tools
63% of learners found all the desired skills & tools
Our course instructor
Mr. Bharani Akella
Data Scientist
Machine Learning Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
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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