Free Machine Learning Course with Python

Machine Learning with Python

star 4.58  Beginner level 16.5 learning hrs 97.6K+ Learners

Enroll for Machine Learning with Python Course for free and ace your data analysis techniques.

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About this course

This comprehensive Machine learning with python course explains the basic statistics and programming required to work on machine learning problems. Firstly, you will learn the basic concepts and the various packages needed for machine learning. It also covers statistical distributions and explains the different types of data. 

The course then teaches you a type of machine learning called reinforcement learning, with the help of a real-world case study to ensure that learning is practical and hands-on. Reinforcement learning has applications in game development, smart assistants, recommendation systems, and in industries as varied as finance, oil, gas, etc.

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Course outline

Introduction of Python and Its Libraries

Data frames with Pandas

Working on Filtering and Adding Columns

Filtering and Sorting

Grouping the Data

Loops and Functions

Summarising Data

Types of Data

This section introduces you to different types of data by helping you understand their graphical representations. It also explains its different components. 

 

 

Visualization Libraries

Basics of Statistics

You will be introduced to statistics which comes with data problems, whereas machine learning is used to solve these problems in this first module of the course. The tutor also discusses some real-life scenarios of problems occurring with the data in statistics. Later you will understand three steps to process the information such as descriptive, predictive, and prescriptive. 

Descriptive Statistics

Descriptive statistics means describing the data without necessarily trying to build any prediction or model into it. In this module, the tutor will help you understand descriptive statistics by giving real-life examples. Next, you will learn the term random variable. Lastly, the tutor will familiarize you with the Cardio Good Fitness case study, which will be the main objective of the next module. 

Measures of Central Tendency

This section describes measures of central tendency by formulating to solve for the previously mentioned example. It also analyzes various metrics of the solution through graphs. 
 

Measures of Dispersion

This section describes the standard deviation by formulating to solve for it. It explains the relative tendency towards the most accurate solution through the derived observation. You will also learn to work with code in the Jupyter notebook to understand this better. You will also learn to graphically represent the observation, about data, and metadata in the later part of this section. 
 

 

Introduction to Reinforcement Learning

Framework of Reinforcement Learning

Q - Learning

Case Study on Smart Taxi

Cardio Good Fitness Case Study for Descriptive Statistics

In this module, the tutor will help you to understand descriptive statistics with the help of a case study on Cardio Good Fitness. The case study will be carried out in Jupyter Notebook. You will also understand the descriptive analytics required to create customer profiles for the organization Cardio Good Fitness. You will learn briefly about the problem statement and how you can derive the solution using Numpy and Pandas libraries in the Jupyter notebook. 
 

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

Machine Learning with Python

rating icon 4.58

16.5 Hours

Beginner

97.6K+ learners enrolled so far

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Learner reviews of the Free Courses

4.58
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2%
Reviewer Profile
Rimsha Tariq

5.0

“Master Machine Learning with Python Online”
I appreciated the emphasis on practical applications, which helped me understand how to implement various algorithms using Python. The instructors explained complex topics in a way that was easy to grasp. The course also provided valuable coding examples that I could experiment with on my own. I enjoyed the flexibility of being able to revisit the videos whenever I needed to refresh my memory. Overall, this course greatly enhanced my understanding of Machine Learning, and I highly recommend it to anyone looking to learn at their own pace with quality content.
Reviewer Profile

5.0

India
“The Experience of Working with Machine Learning Using Python”
Working with machine learning in Python is characterized by ease of prototyping, a rich set of tools for each stage of development (from data preprocessing to model deployment), and an active community that continuously pushes the boundaries of machine learning and artificial intelligence development.
Reviewer Profile

5.0

India
“Exploring Machine Learning with Python: A Transformative Experience”
The interactive coding sessions were engaging and solidified my understanding of algorithms. The extensive libraries like Pandas and Scikit-Learn made data manipulation and model building intuitive and efficient.
Reviewer Profile

5.0

India
“Machine Learning in Python: Use Libraries like Scikit-learn, TensorFlow, and Keras”
Machine learning in Python is a popular and widely-used approach for building predictive models and making data-driven decisions. Python offers a range of libraries and tools for machine learning, including: 1. Scikit-learn: A widely-used library for machine learning tasks, including classification, regression, clustering, and more. 2. TensorFlow: An open-source library for deep learning and neural networks. 3. Keras: A high-level library for deep learning and neural networks. 4. PyTorch: An open-source library for deep learning and neural networks. 5. Pandas 6. NumPy
Reviewer Profile

5.0

Canada
“Machine Learning with Python: A Practical Guide to Data Science”
In this course, I've learned core algorithms, how to preprocess data using Pandas and NumPy, and how to implement and evaluate models using Scikit-learn.
Reviewer Profile

5.0

India
“Master ML: Data, Models, Insights!”
Learning machine learning involves understanding data preprocessing, algorithms, model training, evaluation metrics, and deployment. Key concepts include supervised and unsupervised learning, neural networks, and real-world applications across various fields.
Reviewer Profile

4.0

India
“Highlights Contributing to a Meaningful Learning Experience”
First, I like the concept of machine learning and the basics of learning.
“Grouping Data, Visualization Using Matplotlib and Seaborn”
1. Data manipulation using the Pandas library 2. Data filtering and grouping 3. Data visualization using Seaborn and Matplotlib
Reviewer Profile

4.0

Canada
“Learned Python Libraries: NumPy, Seaborn, Pandas, Matplotlib”
In this course, I gained knowledge of Python libraries, and it will be useful in the future, as in the new-tangled era machine learning is advanced for AI. Also, I enjoyed doing quizzes which were a review of my whole course and an exam of my knowledge.
Reviewer Profile

5.0

India
“This Course is Very Good for Beginners”
The topics were explained in a clear and structured way, making it accessible to beginners while still offering depth for more advanced learners. The real-world examples and practical applications of machine learning kept me engaged and motivated.

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 with Python free course?

Yes, you will get a certificate of completion for Machine Learning with Python 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 with Python course cost?

It is an entirely free course from Great Learning Academy. anyone interested in learning the basics of Machine Learning with Python 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 with Python 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 with Python course?

Great Learning Academy provides this Machine Learning with Python 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 with Python 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 with Python course?

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

Where can I learn Python for free?

You can avail the Python Foundation course on Great Learning Academy for free. The course will help you in learning Python basics and getting started with the programming language.    

 

Where can I learn machine learning for free?

You can check out the free machine learning courses available at Great Learning Academy. The free modules will help you to understand the basics of machine learning and the applications of Python in machine learning.

 

How long does it take to learn Python?

The Python for Machine Learning course is a free course on Great Learning Academy and will help you to learn the basics of Python with 5 hours of content. Once you complete that then you can practice regularly to strengthen your concepts of the programming language and its applications.

Can I learn python in a month?

Yes, you can learn Python in a month’s time with Great Learning Academy’s free and Pro courses on Python. After that, the more you practice, the better you will get at it

 

Can I learn Python without any programming experience?

Even if you do not have any prior programming experience, you can still learn Python as the syntax is much easier than other programming languages such as Java, C++ etc. 

 

Will learning Python get me a job?

Yes, Python is the most popular programming language that is used in machine learning and data science applications and find applications in other domains too. Learning Python will give your career a direction and you will surely land jobs. 

 

How much does Python certification cost?

You can avail free Python programming courses on Great Learning Academy, and there are also some Pro courses for only INR 1,999. You can get certified for almost free at Great Learning Academy. 

 

Which sites provide a free course of Machine Learning with Python?

Great Learning Academy has a free course on Machine Learning with Python which covers the Python basics for machine learning in detail. 

 

 

How do I become good at Python?

You can start learning Python with a free course on Great Learning Academy and then take up a Pro course on the same platform. The free course will cover all the basics of Python Programming and the Pro course will take you further into the details of Python Programming and its various applications for just INR 1,999.

 

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