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Essential Data Structures in Python

Zero to Python Hero – Part 5/10: Essential Data Structures in Python: Lists, Tuples, Sets & Dictionaries

The fundamental way of storing, accessing and manipulating of data in python is data structures. Python provides an convenient and adaptable collection of objects to store and data and sort it in different ways, be it a list, a tuple,...

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Top 5 Skills Every Engineer Should Learn in 2026

The world of engineering is changing faster than ever before. Technologies that were once futuristic like artificial intelligence, machine learning, and cloud computing are now driving industries forward. By 2026, the engineers who thrive won’t just be the one who...

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Zero2 to Python Hero

Zero to Python Hero - Part 4/10 : Control Flow: If, Loops & More (with code examples)

A major element of any programming language is the capability to take decisions and repeat them -this is the so-called control flow. Control flow is a feature available in Python that enables us to have the control of how code...

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Zero to Python Hero

Zero to Python Hero - Part 3/10 : Understanding Type Casting, Operators, User Input and String formatting (with Code Examples)

Type Casting & Checking What is Type Casting? Type casting (also called type conversion) is the process of converting a value from one data type to another. It’s like translating between different languages  – sometimes you need to convert a number to...

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Dynamic Programming with Reinforcement Learning

Dynamic Programming in Reinforcement Learning: Policy and Value Iteration

The core topic of reinforcement learning (RL) Dynamic Programming in RL: Policy and Value Iteration Explained provides fundamental solutions to resolve Markov Decision Processes (MDPs). This piece teaches about Policy Iteration and Value Iteration alongside their mechanisms as well as...

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Latest Articles

Day 4: Exploring the Fundamentals of Artificial Neural Networks

Artificial neural networks (ANN) have revolutionized the field of artificial intelligence, enabling computers to perform complex tasks such as image recognition, natural language processing, and speech synthesis. ANNs are designed to mimic the structure and function of the human brain, allowing machines to learn from data and make intelligent decisions. In this article, we will…

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Brain Tumor Detection using Support Vector Machine

Brain tumor detection plays an important role in diagnosing and treating brain-related diseases. With advancements in machine learning and image processing techniques, it is now possible for us to automate the process of tumor detection using computer algorithms. In this article, we will look at the code implementation that uses machine learning models to detect…

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From Zero to Hero: The Ultimate PyTorch Tutorial for Machine Learning Enthusiasts

Machine learning has revolutionized a number of industries, from healthcare to finance, by allowing computers to learn from data and make intelligent predictions. PyTorch, a popular open source machine learning framework, has gained significant traction among researchers and practitioners due to its flexibility and ease of use. In this comprehensive tutorial, we’ll take you from beginner…

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Day 3: Deep Learning vs. Machine Learning: Key Differences Explained

In the world of artificial intelligence, two terms often mentioned are “deep learning” and “machine learning.” Both technologies play significant roles in the development of intelligent systems, but what sets them apart? In this article, we will delve into the key differences between deep learning and machine learning, exploring their applications, methodologies, and unique characteristics.…

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Retrieving Dictionary Keys and Values in Python

Python is a versatile and powerful programming language that provides many ways to retrieve keys and values ​​from dictionaries. Dictionaries are a fundamental data structure in Python, allowing you to store key-value pairs for efficient lookup and manipulation. In this article, we will see different methods to retrieve keys and values ​​from dictionaries with code…

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Day 2: 14 Types of Neural Networks and their Applications

1 – Introduction to Neural Networks Artificial intelligence has changed drastically because of neural networks, which are now an important part of various applications. They can be used to solve complex problems and make predictions by mimicking the structure and functioning of the human brain. So, in this article, we will talk about different types…

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Day 1: Introduction to Deep Learning: Understanding the Basics

Welcome to this Deep Learning Course! Today is the beginning of our course and in this first article we will be talking about basics of Deep Learning. So, Let’s get started. Deep learning, is a subfield of machine learning that focuses on algorithms inspired by the structure of the human brain called which is an…

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How to Enhance Images Using Python

Image enhancement is one of the important steps in number of applications, including computer vision and image processing. It will help you to improve the quality of an image by adjusting its brightness, contrast and sharpness. Python, a versatile programming language, that provides a number of libraries to perform image enhancement tasks. In this article,…

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A Comprehensive Guide on Hyperparameter Tuning

Hyperparameter tuning is an important step in the machine learning pipeline, as it can significantly impact the performance of your Machine learning model. In this article, we will talk about what is hyperparameter tuning, its importance, how it works, popular techniques, its impact on model performance, and how we can choose the right hyperparameters for…

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Python for Machine Learning: A Beginner’s Guide

Introduction to Python for Machine Learning Python has emerged as an effective programming language for Machine Learning and Data Science. In this beginner’s guide, we’ll cover the basics of Python and learn how to use it to build and train machine learning models. Installing Python and Required Libraries 1 – Download and Install Python: Visit…

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Mastering Image Contrast: A Step-by-Step Guide to Enhancing Image

In the previous article, we discussed Histogram Equalization and also implemented it in Python. You can read that article on Histogram Equalization here. In this part, we are going to look at how to enhance Image contrast, as well as implement it step-by-step using Python and the OpenCV library. Improving the contrast of an image…

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Histogram Equalization: Enhancing Image Quality and Contrast

Histogram equalization is a technique used to enhance the quality and contrast of an image. It is a process of adjusting the intensity values of an image to improve its visual appearance. In this article, we will discuss the concept of histogram equalization, and its benefits, also we will be looking at the implementation in…

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