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Data Science

Sentiment Analysis with NLP: A Step-by-Step Guide

Sentiment analysis is like teaching a computer to understand feelings - it can tell whether a text expresses happiness, sadness,…

Tokenization in NLP: A Comprehensive Guide

Hi Folks, In this article we are going to know about NLP and their deep knowledge. this blog is actually…

Creating Your Own PDF Chatbot : LLM

Are you interested in creating your own PDF chatbot but want to have full control over every aspect of the…

A Comprehensive Guide to Hugging Face Transformers

In the vast field of natural language processing (NLP), Hugging Face Transformers has emerged as a go-to library for leveraging…

Predicting House Prices using Machine Learning: A Step-by-Step Guide

As the real estate market continues to grow, there is an increasing demand for accurate predictions of house prices. With…

when Recall, Precision, Accuracy, and F1 score is Important

Will see the Importance, why, and when we use Recall and Precision. Recall Recall is important when you want to…

Confusion matrix – Example, Scenario and Code

A confusion matrix is a table that is often used to describe the performance of a classification model (or "classifier")…

Evaluating the model performance [Deep Understanding] – Machine Learning

Evaluating the performance of a machine learning model is an important step in the model development process, as it allows…

Machine Learning – Random Forest

Random forests are a powerful machine learning algorithm that can be used for both classification and regression tasks. They are…

Machine Learning – Model Evaluation

Model evaluation is the process of assessing the performance of a model on a dataset. This is typically done by…