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Python can be used to build data-driven web applications, and how web development companies can leverage this technology to deliver high-quality web applications to their clients.

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Deep learning is a course of action of machine learning (a variant of artificial intelligence) that assimilates neural networks (a multi-layered structure of algorithms) in 3 or more sequential layers. Deep learning is useful while apprehending patterns from unlabelled or amorphous data. It is often used in image and speech recognition and computer vision applications in order to draw the same conclusions as that of the human brain.

Deep learning is a course of action of machine learning (a variant of artificial intelligence) that assimilates neural networks (a multi-layered structure of algorithms) in 3 or more sequential layers. Deep learning is useful while apprehending patterns from unlabelled or amorphous data. It is often used in image and speech recognition and computer vision applications in order to draw the same conclusions as that of the human brain.

The data in its primary stage can be transformed into actionable data, which is where Applied Data Science comes into action. The course of action of turning raw data into meaningful insights is known as Applied Data Science. It investigates data to provide functional solutions to business problems through the application of abstract frameworks and algorithms on primary data. It uses scientific methods to develop questions for research and then carry out studies that lead to decoding solutions.

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Python is one of the powerful, high-level, easy to learn programming language that provides a huge number of applications. Some of its features, such as being object-oriented and open source, having numerous IDE’s, etc. make it one of the most in-demand programming languages of the present IT industry. According to TIOBE index, as of January 2020, Python is one of the popular programming languages. By looking at the popularity of this programming language, many IT professionals, both beginners as well as experienced alike, are willing to build their career as a Python developer.

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Jobs in Python programming offer a diverse range of opportunities across industries, making it a highly sought-after career path. Python's versatility, simplicity, and popularity make it a key player in web development, data science, machine learning, and more. Explore the world of jobs in Python programming to leverage your skills and embark on a rewarding and dynamic career.

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The future scope of Python is exceptionally promising, making it a crucial skill for individuals seeking a competitive edge in the tech industry. Python's versatility, simplicity, and extensive library ecosystem continue to drive its adoption in fields such as web development, data science, artificial intelligence, and more. In Delhi, the demand for Python professionals is particularly high, with numerous job opportunities and career growth prospects. Enrolling in a Python course in Delhi can provide you with the knowledge and skills needed to capitalize on these opportunities and excel in this dynamic and evolving field.

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If talking about smart apps or artificial talent (AI) today, Siri, Cortana, and then Assistant probably appear according to mind. Hundreds of linguists and software Technical engineers commit endless hours in conformity with constructing these features into responsive, non-public assistants up to expectation to execute reply questions, music under information, ship messages, open services, or more.

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Benefits such as ease of learning and use, Supportive Python Community, Reputed Corporate Sponsors, Libraries, and Frameworks, Versatility, Efficiency, Reliability, and wide use in different domains make python so popular

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Machine learning and artificial intelligence (AI) are cutting-edge fields of computer science that empower computers to learn from data and make intelligent decisions without explicit programming. Machine learning algorithms analyze large datasets, identify patterns, and use them to make predictions or decisions. AI takes this a step further by enabling machines to exhibit human-like intelligence, reasoning, and problem-solving capabilities

This PowerPoint presentation showcases a variety of mini projects suitable for Computer Science Engineering (CSE) students. It covers projects in web development, mobile app development, data analysis, machine learning, IoT, network security, game development, natural language processing, cloud computing, and robotics. The presentation aims to inspire CSE students to explore different project ideas and technologies within their field.

Briefly introduce the concept of Rummy and its popularity as a card game. - Highlight the shift from traditional offline Rummy to online platforms.

Final-year projects are an integral part of a student's academic journey. It provides an opportunity for students to apply their knowledge and skills to real-world problems.

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With Machine Learning being a popular field of AI, the demand for ML engineers is exponentially increasing as companies want to implement and make ML a pivot feature in their products. The profession is much in demand and is making in the list of top jobs.

Python, being one of the most sought after programming languages, has a huge collection of libraries. In fact, this expansive set of libraries can be considered as one of the important merits and reasons for its popularity. Python has over 137,000 libraries and 198,826 packages for the ease of coder’s regular coding experience.

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Deep Learning Network Optimization is a machine learning network that helps the machine understand the unstructured data from any raw files. Nowadays, the DLN is commonly used in speech recognition, computer vision, machine translation, and natural language processing.

The presentation will help you understand the Benefits of Using Python language. and these benefits are the reason why python is becoming so popular among all domains.

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"Welcome to the presentation on Mini Projects for Computer Science and Engineering (CSE) This presentation highlights a selection of engaging and practical mini projects for CSE students."