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Python Projects

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30.8K+ Learners
intermediate
Intermediate

Get hands-on experience on Apache Hive to work with innovative Python project ideas. Gain a solid hold on Machine Learning by practicing with beginner-level Python projects by enrolling in this free online course.

What you learn in Python Projects ?

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Analysis of complex datasets
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Working with real-life projects
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Data science concepts
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Machine Learning

About this Free Certificate Course

The Python Projects for Beginners course is designed to engage you with different python project ideas to work with machine learning. The course introduces you to the Apache Hive tool and gives you a thorough understanding of working with it for various ML tasks. It also comprehends working demonstrations of analysis on football data and cab fare prediction. It also includes learning materials on the subject for your better understanding. You can badge your skills in the domain with the certificate after completing the course. 

 

After you have completed this self-paced intermediate-level guide to Python Projects, you can continue your learning journey in this leading domain by registering for the Machine Learning course with millions of aspirants across the globe! 

 

 

Course Outline

Introduction to Hive Hands-On

Hive is a data warehouse used to support interaction between the user and HDFS. This course will give you a demonstration using sample problem statements for your better understanding.

Analysis of Football Data
Cab Fare Prediction Analysis
Summary

This comprehensive module on Organizational Behaviour, covers the concept, importance, elements, levels, types, and objectives of the field. It provides a deep understanding of the subject to enhance interpersonal and communication skills and create a positive work environment.

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Python Projects

With this course, you get

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Completion Certificate

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1.5 Hours

of self-paced video lectures

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Frequently Asked Questions

What are the prerequisites to learning this Python Projects for beginners course?

This is an intermediate-level course. So you will need to have a good understanding of working in Python programming language. If you are not proficient, you can begin with a free Python Fundamentals course before starting with Python Projects. 

 

 

How long does it take to complete this free Python Projects for beginners course?

The Python for Artificial Intelligence free certificate course is a 7.5-hours long course. You can learn it at your convenience since the course is self-paced.

Will I have lifetime access to this free course?

Yes. Once you enroll in this free Python Projects for Beginners course, you will have lifetime access to it.

 

Will I have lifetime access to this free course?

Yes. Once you enroll in this free Python Projects for Beginners course, you will have lifetime access to it. 

 

 

What are my next learning options after this Python Projects for beginners course?

After you have completed this course, you can either learn other concepts in machine learning individually, or you can register for the PG Program in Machine Learning and master them all under a single roof. 

 

Why is it essential to learn Python projects for Machine Learning?

Python provides all the necessary core competencies for machine learning applications, including stability, flexibility, and a wide range of tools. From the stages of creation to deployment and up until the maintenance stage, Python helps developers be productive and confident about the product they are manufacturing. Python's popularity is greatly influenced by how easy it is to learn. It is simpler to comprehend, making it easier to develop machine learning models and complete various tasks. Algorithms are a key part of machine learning, and Python makes testing for developers easier. It has the potential to put the same into practice.

 

Why are Python projects so popular?

It employs a streamlined syntax with an emphasis on natural language, making learning for newcomers considerably simpler. Additionally, Python is frequently the first language that new developers choose because it is open-source, free to use, and supported by a sizable ecosystem of libraries and packages. Since it is a multi-purpose language, you can work with Machine Learning, Data Science, and application development and also employ Python programming for maintaining the database within your organization. 

 

What jobs demand that you learn Python Projects for Machine Learning?

It is very essential for every professional in the machine learning industry to have proficiency in working with real-time projects. The very popular careers for the subject include:

  • Machine Learning Engineer
  • Data Engineer
  • Software Engineer
  • Software Developer
  • Designer in Human-Centered Machine Learning
  • Data Scientist
  • Computational Linguist

Will I get a certificate after completing this Python Projects for beginners course?

Yes. The course includes different modules for different projects in machine learning, such as football analysis and cab fare prediction. After you have a good understanding of working with other such python project ideas, you will have to take a test for your self-analysis, after which you will be awarded a certificate of completion for the subject.

 

What knowledge and skills will I gain upon completing this Python Projects course?

After completing this course, you will have gained skills to work with Hive. The course includes a few projects to help you understand working with Python. You will further be able to pick up other python project ideas to practice and work with industry-oriented problem statements after you have had a thorough hold on this course. 

 

How much does this Python Projects for beginners course cost?

The Python Projects for Beginners is a free course. You can enroll in the course and start learning it online, and you can also refer to the attached materials anytime for additional knowledge.

Is there a limit on how many times I can take this Python Projects course?

There are no numerical restrictions on how many times you can take this course. You can enroll in the course today and come back in your leisure to 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 multiple courses simultaneously. But you would not be able to dedicate yourself to mastering all those subjects at once. Great Learning Academy offers courses for free; you can enroll in a course and complete it before you go to the next.

Why choose Great Learning Academy for this Python Projects course?

Data science, machine learning, artificial intelligence, product management, digital marketing, and big data engineering are among the subjects covered in the full-time and short-term programs offered by Great Learning, a top provider of ed-tech services.  Some justifications for choosing Great Learning include:

  • One of the few businesses, Great Learning, provides full-time, online, and offline training across a variety of fields.
  • You can get support for your learning journey from the experienced mentors on the Great Learning team who are specialists in their industry.
  • The programs offered by Great Learning are created with consideration for the demands of the industry and are frequently updated to reflect the most recent developments.

Who are eligible to take this Python Projects for beginners course?

Any individual with good knowledge of working with Python programming language and professionals developing solutions to real-time and industry-oriented problems with Python can take up this course.

What are the steps to enroll in the Python Projects for Machine Learning course?

Enrolling in Python Projects for Machine Learning is a 2-step process. You first need to pick the course you are interested in learning, enter your E-mail ID and set a password. You can then dive into the modules and start learning it for free online.  

 

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Why Python?

Python is a popular high-level programming language for general-purpose applications. Guido van Rossum established it in 1991, and the Python Software Foundation continues to develop it. Its syntax was created with code readability in mind, allowing programmers to communicate their ideas in fewer lines of code. Python is a programming language that allows you to operate more quickly and efficiently with systems.

 

Python is popular among programmers because of the enhanced productivity it offers. The edit-test-debug cycle is extraordinarily rapid because there is no compilation step. Python scripts are simple to debug: a bug or improper input will never result in a segmentation fault. Instead, when the interpreter finds a mistake, it throws an exception. The interpreter prints a stack trace if the application fails to catch the exception. Inspection of local and global variables, execution of arbitrary expressions, setting breakpoints, stepping through the code one line at a time, and so on are all possible with a source-level debugger.

 

The debugger is written in Python, demonstrating Python's introspective capabilities. On the other hand, adding a few print statements to the source code is frequently the quickest method to debug a programme: the fast edit-test-debug cycle makes this simple approach quite successful.

 

Advantages of Python:

 

It's simple to read, learn, and write-

Python is a high-level programming language with a syntax that is similar to English. Compared to other prominent languages like C/C++ and Java, you require fewer lines of code to accomplish the same purpose. This makes the code easier to read and comprehend. Python is simple to pick up and learn, which is why many people recommend it to newcomers.

 

Productivity Increases-

Python is an extremely useful programming language. Python's simplicity allows developers to concentrate on the subject at hand. They don't need to spend a lot of time learning the programming language's syntax or behaviour. You write less code and accomplish more.

 

A language that has been transcribed-

Python is an interpreted language, which means that the code is executed line by line by Python. In the event of an error, it halts the program's execution and reports the error.

 

Typed Dynamically-

Until we run the code, Python has no idea what type of variable we're dealing with. During execution, it assigns the data type automatically. The programmer is not required to declare variables or their data types.

 

Free and Open-Source-

Python is available for free and open-source under an OSI-approved open-source licence. As a result, it is both free to use and distribute. You can get the source code, change it, and even share your own Python version. This is handy for companies that want to change a specific behaviour and produce their own version.

 

Vast Libraries-

Python's standard library is enormous, and it contains practically all of the functions required for your work. As a result, you won't need to rely on third-party libraries.

 

Portability-

To run the programme on different systems, you must update your code in various languages, such as C/C++. With Python, however, this is not the case. You only have to write it once, and it may be used wherever.

 

Features of Python:

 

Python is a high-level computer language that is simple to code. Python is a very simple language to learn compared to other programming languages such as C, C#, Javascript, and Java. Python is a fairly simple language to code with, and anyone can learn the basics in a few hours or days. It's also a language that's easy to learn for programmers.

 

Python is a free and open-source programming language that can be downloaded from the official website.

 

Object-Oriented programming is one of Python's most important features. Python supports object-oriented programming and concepts such as classes, encapsulation, and so on.

 

Python modules such as PyQt5, PyQt4, wxPython, and Tk can be used to create graphical user interfaces. PyQt5 is the most popular Python graphical application framework.

 

Python is a programming language with a high level of abstraction. We don't need to remember the system architecture or manage memory while writing Python apps.

 

Python is a language that can be extended. We can convert Python code to C or C++ and then compile it in that language.

 

Python is also a portable programming language. For instance, if we have python code for Windows and want to run it on other platforms like Linux, Unix, or Mac, we don't need to update it; we can execute it on any platform.

 

Python is also an integrated language because it can easily be combined with other programming languages such as c, c++, and others.

 

Python is an Interpreted Language, which means that its code is executed line by line. Python’s source code is transformed into bytecode, which is an instantaneous representation of the code. Python code does not require compilation, unlike other languages such as C, C++, Java, and others, making it easier to debug.

 

Python offers a big standard library that includes a significant number of modules and methods, allowing you to avoid writing your code for everything. Regular expressions, unit testing, web browsers, and other packages are all available in Python.

 

About This Course:

Python is a dynamically semantic, interpreted, object-oriented high-level programming language. Its high-level built-in data structures, together with dynamic typing and dynamic binding, make it ideal for Rapid Application Development and as a scripting or glue language for connecting existing components. Python's concise, easy-to-learn syntax prioritises readability, which lowers software maintenance costs.

Modules and packages are supported by Python, which fosters programme modularity and code reuse. The Python interpreter and its substantial standard library are free to download and distribute in source or binary form for all major platforms.

This free Python projects for beginners course from Great Learning will help you grasp the tool and its components, as well as how to use it. After completing the course, you will receive a certificate. By enrolling with them, you can also learn about other Online Software Courses they provide.

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