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14 Exciting Python Project Ideas & Topics for Beginners

Analytics Vidhya

Python is an indispensable tool for data science professionals, playing a pivotal role in data analysis, machine learning, and scientific computing. Whether you’re a novice or an experienced practitioner, enhancing your Python programming skills is an ongoing journey.

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What is the Difference Between Data Science and Machine Learning?

Analytics Vidhya

Introduction “Data Science” and “Machine Learning” are prominent technological topics in the 25th century. They are utilized by various entities, ranging from novice computer science students to major organizations like Netflix and Amazon. appeared first on Analytics Vidhya.

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Analytics Vidhya’s Top 10 Blogs on Computer Vision in 2022

Analytics Vidhya

Introduction The year 2022 saw more than 4000 submissions from different authors on diverse topics ranging from machine learning, computer vision, data science, deep learning, and programming to NLP. The post Analytics Vidhya’s Top 10 Blogs on Computer Vision in 2022 appeared first on Analytics Vidhya.

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Complete Guide to Anomaly Detection with AutoEncoders using Tensorflow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Data Compression is a big topic used in computer vision, computer networks, and many more. Data Preprocessing: Data preparation is critical in machine learning use cases. This is a more […].

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Advanced OpenCV: BGR Pixel Intensity Plots

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This is another article pertaining to the topic of Computer Vision in the Python Programming Language. Up to this point in our advanced OpenCV tutorial, specifically focusing on our topic of Contrast, we have […].

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Learn Probability in Computer Science with Stanford University for FREE

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Probability is one of the foundational elements of computer science. Some bootcamps will skim over the topic, however, it is integral to your computer science knowledge.

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Top Courses on Data Structures and Algorithms

Marktechpost

Data structures and algorithms are crucial for efficient problem-solving in computer science, enabling effective data organization and manipulation for fast, reliable software. It covers topics including arrays, hash-tables, heaps, trees, graphs, and various others.

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