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Machine Learning with Python

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

4.56
average rating

Ratings

Beginner

Level

16.5 Hrs

Learning hours

85.1K+
local_fire_department

Learners

Enrol free with email

Skills you’ll Learn

Python
Statistics
Reinforcement learning
Machine learning

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.

Great Learning has collaborated with the University of Texas at Austin to offer various Post Graduate Programs in the field of Artificial Intelligence. Explore more of our Artificial Intelligence Courses and enroll in any of them to earn a Postgraduate Certificate in the Artificial Intelligence and Machine Learning online course from the University of Texas in collaboration with Great Lakes Executive Learning. We ensure that you will become a successful AIML professional with immense training using an exhaustive curriculum and industry-relevant projects.

Check out our Artificial Intelligence & Machine Learning Course Today.

 

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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. 
 

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What our learners say about the course

Find out how our platform helped our learners to upskill in their career.

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What our learners enjoyed the most

Ratings & Reviews of this Course

Reviewer Profile
Manpreet Gill

4.0

★★★ ★ ☆
My Online Python Course Was Transformative
What I liked most about the Python course was its practical approach. Each module combined theory with hands-on projects, allowing me to apply what I learned immediately. The supportive community fostered collaboration and problem-solving. Additionally, the instructor's clear explanations made complex topics accessible, sparking my curiosity and passion for programming. Overall, it was an enriching experience that deepened my understanding.
Reviewer Profile
Abdul Bazith Ismail

4.0

★★★ ★ ☆
Transforming Data into Insight: My Journey Through Machine Learning with Python
I truly enjoyed the hands-on approach we took to learning. Each week, we explored different algorithms and implemented them through engaging projects. I loved the thrill of transforming raw data into meaningful insights, especially when our models began to make accurate predictions. The collaborative atmosphere in our class, along with the challenging yet rewarding assignments, deepened my understanding and sparked a passion for data-driven problem-solving. It was fascinating to see theory come to life through coding, and I can't wait to apply these skills in real-world scenarios!
Reviewer Profile
Gunasharmila Gunaratnam

5.0

★★★★ ★
Clear and Well-Structured Course Content
I really appreciated the interactive elements of the course, which kept me engaged throughout. The instructor’s ability to break down difficult concepts into digestible pieces was impressive. Overall, a highly valuable learning experience.
Reviewer Profile
Aravind Balaji Seenivasagaperumal

5.0

★★★★ ★
Exceptional Education and Engaging Learning Experience
I enrolled in an innovative program that emphasized hands-on learning and collaboration. Engaging workshops, interactive discussions, and real-world projects transformed my understanding of complex concepts. Supportive instructors provided personalized feedback, fostering a stimulating environment. This exceptional educational journey not only enhanced my knowledge but also ignited a passion for lifelong learning.
Reviewer Profile
Vatsal Patel

5.0

★★★★ ★
Quick Guide to Machine Learning with Python
Even though I do not know Python in depth, I can easily understand all concepts and techniques, which are really good.
Reviewer Profile
Keerthana Medisetti

5.0

★★★★ ★
Great Learning Helps to Learn Machine Learning with Python
Easy to learn the Machine Learning with Python course. This course is very helpful to me.

Machine Learning with Python

16.5 Learning Hours . Beginner

Enrol free with email

Why upskill with us?

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1000+ free courses
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Frequently Asked Questions

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 premium 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 premium 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 premium course on the same platform. The free course will cover all the basics of Python Programming and the premium course will take you further into the details of Python Programming and its various applications for just INR 1,999.

 

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. 

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