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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

Top 10 Machine Learning Libraries for Python

Python is one of the most popular programming languages for machine learning, and with good reason. It has a large and active community, a wealth of libraries and frameworks, and strong support for scientific computing and data analysis. In this post, we’ll take a look at the top 10 machine learning libraries for Python that…

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How to Choose the Right ML Algorithm for Your Project?

Machine learning algorithm are powerful tools for solving real world problems. however, selecting the right algorithm for your project is a skill unto itself. it is important to understand that what type of problem you are trying to solve. in order to make informed decision, there are several key questions that should be addressed such…

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10 Common Mistakes in Machine Learning and How to Avoid Them!

Machine learning is a powerful tool for data analysis and prediction however, it is not without its challenges. People often make common mistakes when working with machine learning, understanding these mistakes can help you avoid them and improve the performance of your models. Here are 10 common mistakes in machine learning and how to avoid…

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5 Machine Learning Techniques You Need to Know!

Machine learning is a powerful tool for analyzing and predicting data and isbecoming increasingly important in various industries and applications. From healthcare and finance to marketing and customer service, machine learning is being used to automate and improve processes, gaininsights and make better decisions. As a result, knowledge of machine learning techniques is becoming increasingly valuable to professionals in various fields. Whether you are a data scientist,…

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String methods in Python

In Python, a string is a sequence of characters. Strings are used to represent text, and are often used to store and manipulate data. 1 – str.upper(): This method returns a copy of the string with all uppercase letters. For example: 2 – str.lower(): This method returns a copy of the string with all lowercase…

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What is List comprehension and how to use it?

List comprehension is a concise way to create a list using a single line of code. It consists of square brackets containing an expression followed by a for clause, then zero or more for or if clauses. The expressions can be anything, meaning you can put in all kinds of objects in lists. Example 1:…

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Step-by-Step Process of Implementing Stemming and Lemmatization in Python?

Install the Natural Language Toolkit (NLTK) library. This library provides a range of tools for natural language processing, including stemming and lemmatization algorithms. You can install it using pip install nltk. Import the necessary functions from the NLTK library. For example, to use the Porter stemmer, you would use the following import statement: from nltk.stem.porter…

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Computer Vision Interview questions

1. What is computer vision? Computer vision is a field of artificial intelligence that involves the development of algorithms and systems that can analyze, interpret, and understand visual data from the world around us. 2. What are the main applications of computer vision? Computer vision has a wide range of applications, including image and video…

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What are the two types of image classification method?

Image classification is the process of assigning a label to a given image, such as “cat”, “dog”, or “tiger”. There are two main types of image classification methods: Supervised Classification The supervised classification technique is based on the idea that a user can select specific pixels from an image to become a focal point for…

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What is object detection?

Machine Learning is a powerful, but often misunderstood technology. It’s best known for its applications in the computer vision field, but can be applied to any industry. One of the more common uses is for automatic pedestrian and car detection in footage from surveillance systems and factory video feeds. Object detection is a deep learning…

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How Instagram uses Machine Learning

Instagram is one of the most popular social media applications today. As with any business today, there are many areas where Instagram uses data science. So, if you want to know how Instagram uses Machine Learning, this article is for you. In this article, we’ll take a look at some of the ways Instagram uses machine learning. Below are some of the ways Instagram is using data science for their business. Instagram…

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Automatic Number Plate Recognition Project

In recent years, automatic license plate recognition or license plate recognition has become one of the useful approaches for vehicle surveillance. This article presents an automatic license plate recognition project using OpenCV and EasyOCR. Traffic control and vehicle owner identification have become major problems in all countries. It can be difficult to identify the owner of a speeding vehicle that violates the road rules. Therefore, due to the speed of the vehicle, traffic personnel may not be able to obtain the vehicle number of the moving vehicle, so such…

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