Tag: probabilistic

Naive Bayes: Probabilistic Classification with Independence Assumption

9 September 20226 June 2023 infinity No Comments

Naive Bayes is a machine learning algorithm that’s primarily used for classification tasks. It makes probabilistic predictions based on the Bayesian theorem, which is a fundamental concept in statistics and probability theory. The uniqueness of the Naive Bayes algorithm is that it makes a strong assumption of feature independence. This means that the existence or…

Artificial Intelligence

Hyperparameter Tuning: Optimizing Model Performance

26 June 20226 June 2023 infinity No Comments

In the world of machine learning, hyperparameters are the key to unlocking optimal model performance. These parameters are set before the training of a model and can heavily influence its speed, accuracy, and complexity. Hyperparameter tuning is a process that entails finding the optimal set of hyperparameters to minimize the error rate of a model,…

Artificial Intelligence

Sentiment Analysis: Understanding and Analyzing Textual Emotions

9 April 20226 June 2023 infinity No Comments

Sentiment analysis, also known as opinion mining, is a technique used to identify and categorize emotions expressed in text. The goal of sentiment analysis is to analyze the opinions being shared in the text and understand the attitude of the writer towards a particular topic or subject. Sentiment analysis can help us to gain insights…

Artificial Intelligence

Text Preprocessing Techniques for NLP: Cleaning and Formatting Text Data

28 March 20226 June 2023 infinity No Comments

Natural Language Processing (NLP) relies heavily on text data that is clean and formatted in a manner that allows for efficient analysis. That’s why text preprocessing techniques are essential for NLP. There are several techniques that one can employ to clean and format text data. The first and most important technique is tokenization. Tokenization involves…

Artificial Intelligence