Email address

Password

Email address

Enter a valid email address

Python Libraries for Machine Learning Free Course

Name: Python Libraries for Machine Learning
Rating: 4.55 (520 reviews)

Python Libraries for Machine Learning

4.55 Beginner level 3.75 learning hrs 10.1K+ Learners

Instructor:

Mr. Bharani Akella

Stand out with an industry-recognized certificate

Start learning

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Skills you will gain

Numpy

Pandas

Matplotlib

SeaBorn

Key Highlights

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

About this course

Python is one of the most commonly used languages for Machine Learning. It has many libraries that are both open source and available for free, which are some of its popularity. Python is a very flexible language so it can be used not only for Machine Learning but also for data analysis, scientific computing, system administration, web development, and more.

Suppose you’re getting started with Python programming or want to explore the possibilities of this great programming language even further, without any previous experience in coding or programming whatsoever. In that case, this course is for you.

Machine learning is a branch of artificial intelligence that allows a computer to learn from data and make predictions. It's been around for decades, but the recent advances in technology have made it more practical and popular. The Python programming language has many libraries that are designed for machine learning. Machine learning is applied to many domains, including natural language processing, computer vision, speech recognition, social network filtering, medical diagnosis, and data mining.

This course on Python Libraries for Machine Learning will walk you through three different libraries and the most popular libraries used in implementing Machine Learning tasks.

Check out our PG Course in Machine learning Today.

Stand out with an industry-recognized certificate

Start learning

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Course outline

NumPy

Pandas

Matplotlib

Introduction to Python Libraries for Machine Learning

SeaBorn

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

View Full Course

Python Libraries for Machine Learning

4.55

3.75 Hours

Beginner

10.1K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

4.6

4.89

4.94

4.7

Learner reviews of the Free Courses

4.55

★★★★

★ ☆

★

72%

★

☆

19%

★

☆

★

☆

★

☆

Kashilkar Shreyas

5.0

★★★★ ★

India

“Great Foundation for Python Libraries like NumPy and Pandas”

The course provided excellent, clear explanations of essential data science libraries. It made understanding the core differences between NumPy arrays and Pandas data frames incredibly easy to follow.

Akash Venkat

4.0

★★★ ★ ☆

India

“ Title: Highlight of my learning experience with Python ML libraries NumPy, Pandas, and Matplotlib”

I focused on learning NumPy, pandas, matplotlib, and seaborn. With NumPy, I gained a strong foundation in working with arrays and performing mathematical operations. pandas helped me efficiently manage and manipulate large datasets, making data analysis more intuitive. matplotlib and seaborn enhanced my data visualization skills, allowing me to create clear and insightful plots. These libraries together gave me a comprehensive toolkit for data manipulation and visualization, making the learning experience both engaging and practical.

ANAND MOHAN JHA

4.0

★★★ ★ ☆

India

“Completing the "Python Libraries for Machine Learning" course transformed my understanding of machine learning, providing essential skills and practical experience field.”

The course focused specifically on Matplotlib, Seaborn, NumPy, and Pandas, providing a solid foundation in data manipulation and visualization. \ With NumPy, I learned to work with arrays and perform mathematical operations efficiently. Pandas enabled me to manage and analyze structured data seamlessly. Matplotlib and Seaborn taught me how to create insightful visualizations, helping to convey data trends effectively. \

Abinaya

5.0

★★★★ ★

India

“very useful to learn new tings related to python libraries”

Python libraries are essential for various applications, and Great Learning platform covers the most popular ones. For data science and analytics, libraries like NumPy, Pandas, Matplotlib, and Scikit-learn are extensively used. NumPy facilitates numerical computations, while Pandas enables efficient data manipulation and analysis. Matplotlib and Seaborn provide data visualization capabilities, and Scikit-learn offers machine learning algorithms.

Kishor Goraniya

5.0

★★★★ ★

India

“Pandas, NumPy, and Seaborn enhance data analysis.”

Learning Python libraries like Pandas, NumPy, and Seaborn has been transformative for data analysis. Pandas simplifies data manipulation with its DataFrame structure, making tasks like filtering and aggregation straightforward. NumPy enhances numerical computations with powerful array operations, providing speed and efficiency.

Maryam Hannan

5.0

★★★★ ★

“In-Depth Exploration of Data Analysis Tools”

I particularly enjoyed the detailed explanations and practical examples provided. They enhanced my understanding of how to effectively use libraries like Pandas and Matplotlib for data analysis.

Shenal Rajapaksha

5.0

★★★★ ★

“Mastering Python Libraries for Machine Learning on Great Learning”

This course provides an in-depth look at essential Python libraries like NumPy, Pandas, Matplotlib, and Scikit-Learn, which are crucial for building, analyzing, and optimizing machine learning models. It’s ideal for both beginners and intermediate learners, offering hands-on experience and practical examples. You’ll gain the skills to handle data preprocessing, visualization, and model evaluation, which are fundamental in data science and machine learning workflows.

Sandeep C R

5.0

★★★★ ★

India

“Comprehensive Overview of Python Library”

1. Python Libraries for Machine Learning Numpy Part 1: Introduction to Numpy concepts and functions. Part 2: Advanced usage and applications of Numpy. Pandas Part 1: Basics of data manipulation and analysis with Pandas. Part 2: Advanced data handling techniques. Matplotlib Part 1: Fundamentals of data visualization. Part 2: Creating complex plots and visual representations. Seaborn

Shrrivathsan S 1054

5.0

★★★★ ★

India

“Machine Learning, as the name suggests, is the science of programming a computer by which they are able to learn from different kinds of data.”

In the older days, people used to perform Machine Learning tasks by manually coding all the algorithms and mathematical and statistical formulas. This made the processing time-consuming, tedious, and inefficient. But in the modern days, it is become very much easy and more efficient compared to the older days with various python libraries, frameworks, and modules. Today, Python is one of the most popular programming languages for this task and it has replaced many languages in the industry, one of the reasons is its vast collection of libraries.

Janani Mohan

4.0

★★★ ★ ☆

India

“ Cloud Foundations: Understanding Hybrid, and Public Cloud Deployment Models for Efficient and Adaptive Infrastructure in Real-World Scenarios and Practical Applications. ”

The **Python Libraries for Machine Learning** course provides a focused introduction to essential Python libraries used in machine learning and data science. These libraries are crucial for data manipulation, analysis, visualization, and model building. Key topics covered typically include: - **NumPy**: A powerful library for numerical operations, NumPy offers support for multi-dimensional arrays and matrices, as well as high-level matr

Our course instructor

Mr. Bharani Akella

Data Scientist

Machine Learning Expert

5M+ Learners

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.

Which Python library is used for machine learning?

Python has many libraries, like pandas, matplotlib, NumPy, etc. Based on the purpose, one can use the library accordingly!

Which Python library is used for AI?

Tensorflow, Keras, scikit learn, Theano, PyTorch, and pandas are common python libraries used for AI.

How many Python libraries are there?

There are over 137,000 libraries available in python

Which Python library should I learn first?

It is advised to learn either Pandas or Numpy to get started with machine learning in python.

Where Can I learn the python library for the machine learning courses for free?

Enroll in the free course provided by Great Learning to get a glimpse of Python libraries used in Machine Learning; one can also refer to the documentation!

Will I get a certificate after completing this Python Libraries free course?

Yes, you will get a certificate of completion for Python Libraries 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 Python Libraries course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Python Libraries 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 Libraries 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 Python Libraries course?

Great Learning Academy provides this Python Libraries 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 Python Libraries 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 Python Libraries course?

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

Subscribe to Academy Pro+ & get exclusive features

$29/month

No credit card required

Learn from 40+ Pro courses

Access 500+ certificates for free

700+ Practice exercises & guided projects

Prep with AI mock interviews & resume builder

Recommended Free Machine Learning courses

FREE

4.37 1.4K+ learners

Stochastic Gradient Descent

2 hrs

View Course

FREE

Probability and Probability Distributions for Machine Learning

4.49 20.8K+ learners

Probability and Probability Distributions for Machine Learning

1.5 hrs

View Course

FREE

Applications of Data Science & Machine Learning

4.65 1.2K+ learners

Applications of Data Science & Machine Learning

1 hr

View Course

Similar courses you might like

FREE

4.56 85.4K+ learners

Data Visualization using Python

2 hrs

View Course

FREE

4.5 15.7K+ learners

NumPy Tutorial

1 hr

View Course

FREE

4.34 22.9K+ learners

Python Pandas

1.5 hrs

View Course

FREE

4.45 6.5K+ learners

Python Seaborn

1 hr

View Course

Related Machine Learning Courses

50% Average salary hike

Explore degree and certificate programs from world-class universities that take your career forward.

Personalized Recommendations

Placement assistance

Personalized mentorship

Detailed curriculum

Learn from world-class faculties

Personalized Recommendations

Placement assistance

Personalized mentorship

Detailed curriculum

Learn from world-class faculties

50% Average salary hike
Johns Hopkins University
Certificate Program in AI Business Strategy

10 weeks · Online

Know More
Walsh College
MS in Artificial Intelligence & Machine Learning

2 Years · Online

Know More
MIT Professional Education
No Code and Agentic AI

14 Weeks · Online · Weekend

Learn from MIT Faculty

Know More