Tag: Python
Language 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 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…
Read MoreRussia-Ukraine War Data Analysis Project using Python
In this article I will take you through the task of Analyzing the Russia-Ukraine war Dataset using Python. The dataset that I am using for the task of analysis the Ukraine and Russia War is downloaded from Kaggle. You can download russia-ukraine equipment dataset from here and russia-ukraine personnel losses dataset from here. Now let’s import…
Read MorePython Interview Questions – Part 1
1. What is the difference between indexing and slicing? Indexing is the extracting or lookup one or particular values in a data structure, whereas slicing retrieves a sequence of elements. 2. What is the lambda function? Example: X = lambda I, j: I + j Print (x(4, 6)) Output: 10 3. Explain zip() and enumerate()…
Read MoreWhat are Pickling and Unpickling?
Pickling Pickling and unpickling are terms commonly used in the context of Python programming and refer to the process of serializing and deserializing objects. In simple terms, pickling is the process of converting a Python object into a byte stream, while unpickling is the process of converting the byte stream back into a Python object.…
Read MoreWhat Advantage does the NumPy Array have over a nested list?
NumPy arrays offer several advantages over nested lists in Python. Let’s see some of the key advantages: Overall, the advantages of NumPy arrays over nested lists make them an excellent choice for numerical computations, large datasets, and scientific computing tasks, providing performance improvements and ease of use. Popular Posts
Read MoreDjango Architecture in Python
Django is a web service used to build your web pages. Its architecture is as shown: Popular Posts
Read MoreHow is Multithreading Achieved in Python?
Multithreading usually implies that multiple threads are executed concurrently. The Python Global Interpreter Lock doesn’t allow more than one thread to hold the Python interpreter at that particular point of time. So, multithreading in python is achieved through context switching. It is quite different from multiprocessing which actually opens up multiple across multiple threads. Popular…
Read MoreWhat is the difference Between a Shallow Copy and Deep Copy?
Deepcopy Deepcopy creates a different object and populates it with the child objects of the original object. Therefore, changes in the original object are not reflected in the copy. copy.deepcopy() creates a Deep Copy. Shallow copy Shallow copy creates a different object and populates it with the references of the child objects within the original…
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