Sentiment analysis is like teaching a computer to understand feelings – it can tell whether a text expresses happiness, sadness, or something in between. In this step-by-step guide, we’ll learn how to do sentiment analysis with Natural Language Processing (NLP) …
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 a series of NLP concepts.
So let’s get started with the blog/article.
Tokenization is like breaking a sentence into individual …
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 the power of machine learning, it is now possible to predict the price of a house based on its features …
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”) on a set of data for which the true values are known. It allows you to see how well your …
Evaluating the model performance [Deep Understanding] – Machine Learning
![_Evaluating the model performance [Deep Understanding]](https://www.techjunkgigs.com/wp-content/uploads/2022/12/Evaluating-the-model-performance-Deep-Understanding-300x169.png)
Evaluating the performance of a machine learning model is an important step in the model development process, as it allows us to assess how well the model is able to make predictions on new data. This can be done by …
Machine Learning – Random Forest
Random forests are a powerful machine learning algorithm that can be used for both classification and regression tasks. They are an ensemble learning method, which means they use multiple decision trees to make predictions, and combine the results to improve …
Machine Learning – Model Evaluation
Model evaluation is the process of assessing the performance of a model on a dataset. This is typically done by splitting the original dataset into training and testing sets and using the testing set to evaluate the model’s performance.
The …
Machine Learning – Model Building
Machine learning is a type of artificial intelligence that allows computer programs to learn from data and improve their performance on a specific task without being explicitly programmed. Building a machine learning model involves selecting a model type, training the …
ML – Customer Segmentation
Dividing customers into groups based on similar functionality or customer segmentation is based on the problem of clustering which means finding clusters in a dataset with the same features.
Customer segmentation can help a business focus on marketing strategies to …
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 knowing about data. today we are here to learn about one of the statistical tests – the Chi-Square Test.
As …