Sentiment Analysis with Python
Sentiment Analysis is a Natural Language Processing (NLP) technique used to determine whether a given text expresses a positive, negative, or neutral sentiment. Installing Required Libraries pip install nltk textblob….
Tag: Sentiment Analysis
NLP with Python and NLTK
Natural Language Processing (NLP) is a field of Artificial Intelligence that enables computers to understand, interpret, and respond to human language. Installing Required Libraries pip install nltk Step 1: Importing….
Transformers in Deep Learning
Transformers in Deep Learning: A Detailed Explanation Transformers have revolutionized the field of deep learning, especially in Natural Language Processing (NLP), by providing a highly parallelizable and scalable architecture for….
Gradient Boosting (XGBoost, LightGBM, CatBoost)
Gradient Boosting (XGBoost, LightGBM, CatBoost) in Machine Learning 1. Introduction to Gradient Boosting Gradient Boosting is a powerful ensemble learning technique used in machine learning for classification and regression tasks…..
Naïve Bayes Classifier
Naïve Bayes Classifier in Machine Learning 1. Introduction to Naïve Bayes Classifier The Naïve Bayes (NB) classifier is a probabilistic machine learning algorithm used for classification tasks. It is based….
Support Vector Machines (SVM)
Support Vector Machines (SVM) in Machine Learning 1. Introduction to Support Vector Machines (SVM) Support Vector Machine (SVM) is a supervised learning algorithm used for classification and regression problems. SVM….
Random Forests
Random Forests in Machine Learning 1. Introduction to Random Forests Random Forest is a Supervised Machine Learning algorithm that is used for both Classification and Regression tasks. It is an….
Decision Trees
Decision Trees in Machine Learning 1. Introduction to Decision Trees A Decision Tree is a Supervised Learning algorithm used for both classification and regression problems. It mimics human decision-making by….
Logistic Regression
Logistic Regression in Machine Learning 1. Introduction to Logistic Regression Logistic Regression is a Supervised Learning algorithm used for classification problems. Unlike Linear Regression, which predicts continuous values, Logistic Regression….
Confusion Matrix
Confusion Matrix in Machine Learning 1. Introduction to Confusion Matrix A Confusion Matrix is a performance evaluation metric used in classification problems. It helps to understand how well a machine….