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…
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…
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…
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…
What is Chi-Square Test ?
In the field of statistics Occasionally we heard about categorical data, tests to validate the results, and different approaches to…