Machine Learning Python Course Free

Python for Machine Learning

star 4.51  Beginner level 2.25 learning hrs 474.7K+ Learners

Learn Python for machine learning with NumPy arrays, array math, Pandas Series, DataFrames, Objects, and key functions. Join this free Python machine learning course to build data handling skills for real-world projects.

Instructor:

Mr. Bharani Akella

Key Highlights

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About this course

The free machine learning Python course helps you build the core Python skills needed to work with data for machine learning tasks. You will learn how to use NumPy for array creation, joining arrays, finding intersections and differences, performing array-based math, and saving or loading array data. These skills help you prepare, organize, and process numerical data more efficiently before moving into machine learning workflows. 

You will be able to use Pandas for data manipulation and analysis, including Series, DataFrames, and common functions such as mean, median, maximum, and minimum. By the end of the course, you will be able to handle data using NumPy and Pandas, perform basic data operations, and build a stronger foundation for machine learning, data analysis, and Python-based analytics projects.



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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

This course is ideal for

  • Beginners wanting to learn Python for machine learning.
  • Students and job seekers exploring data science roles.
  • Working professionals who analyze data in Python.
  • Job seekers who want a completion certificate.

Python for Machine Learning

rating icon 4.51

2.25 Hours

Beginner

474.7K+ learners enrolled so far

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Learner reviews of the Free Courses

4.51
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Reviewer Profile

5.0

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

India
“The Course Was Well-Structured and Provided a Solid Foundation in Python for Machine Learning”
I appreciated the clarity of the explanations and the hands-on approach of the course. The interactive quizzes and practical projects helped reinforce my learning effectively. The support and feedback provided throughout the course were invaluable, making the learning process both engaging and rewarding.
Reviewer Profile

5.0

India
“Python for Machine Learning Course”
Python for Machine Learning is an excellent course that provides clear explanations and practical examples, making complex concepts easy to grasp. It effectively covers essential libraries like NumPy, pandas, and scikit-learn, offering a solid foundation for beginners and enhancing skills for advanced learners. Highly recommended!
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

4.0

India
“Easy to Understand and Follow with Good Explanation”
The explanation was clear and easy to understand, making complex concepts accessible. The step-by-step breakdown of the code and correction of syntax errors were particularly helpful. This thorough and concise guide provided a solid grasp of how NumPy arrays work, making it ideal for learners of all levels.
Reviewer Profile

5.0

India
“Comprehensive and Practical ML Learning Experience”
This course offered a well-structured curriculum covering both Python fundamentals and advanced machine learning concepts. The instructors explained complex topics with clarity, supported by hands-on assignments and quizzes that solidified my understanding. The practical examples and case studies helped me connect theory with real-world applications. Highly recommend it to aspiring ML professionals.
Reviewer Profile

5.0

India
“Overall, I Had a Positive Learning Experience and Would Recommend This Course to Others”
Overall, I found the course to be well-structured and informative. The content was relevant and covered essential topics comprehensively. The lectures were clear, and the instructor did a great job explaining complex concepts and facilitating discussions.
Reviewer Profile

5.0

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

4.0

United States
“Python for Machine Learning is a Must!”
I was not expecting much from this course, but I was wrong. Everyone should take this course.
Reviewer Profile

4.0

India
“Efficient Array Operations and Data Manipulation”
Python's clear syntax and readability make it an ideal language for beginners and experienced developers alike. Its extensive ecosystem, including libraries like NumPy, Pandas, and Scikit-learn, provides a robust toolkit for data preprocessing, modeling, and evaluation. From simple linear regression to complex deep neural networks, Python can handle a wide range of machine learning tasks. Its versatility and scalability have made it the language of choice for many data scientists and researchers.

Our course instructor

instructor img

Mr. Bharani Akella

Data Scientist

Machine Learning Expert

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5M+ 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 will I learn in this free machine learning Python course?

The Python for Machine Learning free course teaches NumPy and Pandas for machine learning tasks. You learn NumPy arrays, array joining and intersection, differences, array math, saving and loading arrays, Pandas Series, DataFrames, and functions such as mean, median, maximum, and minimum.

Who should take this free Python machine learning course?

The free course is useful for beginners who want to build data-handling skills before moving into machine learning projects. It is listed as a beginner-level course and focuses on practical Python libraries used in ML workflows.

How long does this free Python-based machine learning course take to complete?

The free ML with Python course includes 2.25 hours of learning. It gives you a short, focused way to build Python data handling skills used in machine learning.

What skills will I gain from this free machine learning Python training course?

This free ML with Python course helps you build the following skills:

  • 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


What topics are covered if I want to learn Python for machine learning free?

This course covers the following modules:

  • Intro to Numpy

  • Joining NumPy Arrays

  • Numpy Intersection & Difference

  • Numpy Array Mathematics

  • Saving and Loading Numpy Array

  • Intro to Pandas

  • Pandas Series Object

  • Intro to Pandas Dataframe

  • Pandas Functions


Does this Python machine learning fundamentals course free include practical examples?

The machine learning Python course includes worked examples and code for NumPy and Pandas. You learn by seeing how arrays, dataframes, and functions work in practical Python tasks.

How does this free Python machine learning course help with real ML projects?

The Learn Python for Machine Learning free course helps you clean, organize, transform, and analyze data using NumPy and Pandas. These are core steps before building machine learning models, because ML projects depend on well-prepared data.



Will this free online Python course on machine learning teach both NumPy and Pandas?

The Python for Machine Learning free course covers both libraries. NumPy is used for arrays, mathematical operations, and data I/O, while Pandas is used for Series, DataFrames, and common data analysis functions.



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. 

 

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

Once you enroll in the Free 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. 

 

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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