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Machine Learning

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,…

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…

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 – Model Evaluation

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

Machine Learning – Model Building

Machine learning is a type of artificial intelligence that allows computer programs to learn from data and improve their performance…

ML – Customer Segmentation

Dividing customers into groups based on similar functionality or customer segmentation is based on the problem of clustering which means…

Linear Regression – Cons[1]

Only Linear Problems Ordinary Least Squares won't work well with non-linear data. If you are not sure about the linearity…

Clustering, Classification and Regression

Hi folks, In the field of machine learning we all know the type of problems are different, sometimes we predict…