Author: Naveen
Naveen PandeyString 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…
Read MoreWhat 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:…
Read MoreStep-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…
Read MoreComputer 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…
Read MoreWhat 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…
Read MoreWhat 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…
Read MoreHow 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…
Read MoreAutomatic 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…
Read MoreLanguage Detection Project using Machine Learning
Speech recognition is a natural language processing task that requires identifying the language of a text or document. Using machine learning for speech recognition was a difficult task a few years ago due to the lack of much data on language, but now that data is readily available, several powerful machine learning models are already available. So, if you want to learn how to train machine learning models for speech recognition, this article is for you. This…
Read MoreCounting Objects in An Image
Counting objects in an image is the job of computer vision. There are many Python computer vision libraries available for this task. However, this article describes a very simple approach to counting objects in images using Python. How to count objects in an image using Python? Counting objects in an image is a computer vision task. There are many image processing libraries available for this task. B. OpenCV, TensorFlow, PyTorch, Scikit-image, and cvlib. You probably haven’t heard much about Python’s cvlib library. This is a very simple, advanced, and easy-to-use…
Read MoreProduct Demand Prediction Project Using Machine Learning
You must have learned that demand for a product change as the price of the product changes. To give a real-life example, if a product is not needed, demand decreases when price increases, and demand increases when price decreases. If you want to know how to use machine learning to predict product demand, this article…
Read MoreCalories Burnt Prediction Project using Machine Learning
In this article, we will learn how to develop a machine learning model using Python which can predict the number of calories a person has burnt during a workout based on some biological measures. You can download Calories dataset from here and Exercise dataset from here. we will import all the necessary libraries and also warnings which we take care…
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