Author: Naveen
Naveen PandeyUnleashing Emotions: Vader for Sentiment Analysis
VADER (Valence Aware Dictionary and Sentiment Reasoner) is a lexicon and rule-based sentiment analysis library that is specifically attuned to sentiments expressed in social media. It is used for sentiment analysis tasks, especially in social media and online reviews, where the language used can be informal and often contains slang, emoticons, and sarcasm. It uses…
Read MoreSentiment Analysis using TextBlob
Sentiment analysis or opinion mining can be used to gain insights from large amounts of data. It uses natural language processing, text analysis, and computational linguistics to detect and extract emotional content from text-based sources. It is used to determine the attitudes, opinions, and emotions of a speaker or writer with respect to some topic…
Read MoreWhat are the benefits of Transfer Learning in Machine Learning.
Transfer learning is a powerful Machine Learning Technique which reuses the knowledge of an AI model that has already been trained to perform a specific task and repurposes it as the baseline for another similar task. This enables AI models to learn faster and improve their accuracy with minimal data. Pre-trained AI models can reduce…
Read MoreTop 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…
Read MoreHow 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…
Read More10 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…
Read More5 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,…
Read MoreString 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…
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Zero to Python Hero – Part 6/10: Functions and Modules in Python
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Zero to Python Hero – Part 5/10: Essential Data Structures in Python: Lists, Tuples, Sets & Dictionaries
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Zero to Python Hero - Part 4/10 : Control Flow: If, Loops & More (with code examples)
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Zero to Python Hero - Part 3/10 : Understanding Type Casting, Operators, User Input and String formatting (with Code Examples)
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Zero to Python Hero - Part 2/10 : Understanding Python Variables, Data Types (with Code Examples)
