Md Shahriyar Al Mustakim Mitulmitul-shahriyar.hashnode.dev·May 4, 2024Machine Learning - Naive Bayes (14)We understand this by Assume that, this time we don't know what a persons salary and age is but want to categorize it to a portion, for example, we have few data of people who walks and few data of people who drives. If we get new data point, where...Discussnaive bayes
Retzam Tarleretzam.hashnode.dev·Apr 22, 2024Naive Bayes - Supervised Learning Classificationprint("Naive Bayes") Naive Bayes(NB) is a supervised learning model used for classification tasks. NB makes predictions by calculating the probability of event A happening given that B happened. To understand NB we need to first understand conditiona...Discuss·1 likenaive bayes
Silvester cheptumomugultum.hashnode.dev·Apr 18, 2024Beginner-friendly machine learning algorithms to tryWith a lot of data available today, machines are learning at a fast pace. These machines learn through the use of machine learning algorithms which are the building blocks for artificial intelligence. Today, you can analyze large volumes of data and ...DiscussData Science
Simran Anandsimranblogss.hashnode.dev·Mar 23, 2024End to End Machine Learning Project for Spam Detection Use CaseIntroduction In the digital age, spam messages have become a persistent annoyance, infiltrating our mobile phones with unwanted and often fraudulent content. Machine learning (ML) offers a powerful solution to this problem, enabling us to automatical...Discuss·24 likes·106 readsData Science
Ali Vijdaanvijdaancoding.hashnode.dev·Jan 28, 2024Resume Categorization made Easy with NLP and Machine LearningIntroduction The amalgamation of NLP, a branch of artificial intelligence that enables computers to understand, interpret, and generate human-like text, and machine learning algorithms that empower systems to learn patterns from data, creates a found...Discussnlp
K Ahameddatailm.hashnode.dev·Jan 11, 2024K-Means Clustering, Decision Trees, and Naive Bayes - Decoding Patterns in a Sea of DataData mining plays a crucial role in extracting valuable insights and patterns from large datasets. Among the plethora of data mining techniques, K-Means clustering, Decision Trees, and Naive Bayes are widely utilized for their versatility in various ...DiscussData MiningK means Clustering
Hassan AbubakarforHassan Abubakar's team bloggoisthemachinelearner.hashnode.dev·Dec 5, 2023Naive Bayes ClassifierI'm sure we've all had our fair share of encounters with probabilities, some people have it worse with conditional probability and I think Bayes theorem is when it becomes advanced. But to be honest, what is advanced in some basic "The probability of...DiscussMachine Learning
Saurabh Naiksaurabhz.hashnode.dev·Sep 30, 2023Making Sense of Data with Naive Bayes: Applications and InsightsIntroduction: In the vast landscape of machine learning algorithms, one approach stands out for its simplicity, effectiveness, and versatility: Naive Bayes. Behind its humble façade lies a powerful tool for classification and probabilistic modeling. ...Discuss·1 like·38 readsML algorithm intuitions with essential conceptsMachine Learning
Rhythm Rawatrhythmblogs.hashnode.dev·Jun 4, 2023Probability for Machine Learning:Naive Bayes Classifier algorithmNaive Bayes classifier is a supervised learning algorithm that is based on Bayes' theorem and used for solving classification problems. It is mainly used in text classification that includes a high-dimensional training dataset. Naive Bayes classifier...DiscussMachine Learning
Subek Sharmablog.subeksharma.com.np·May 28, 2023Understanding Naive Bayes for Natural Language Processing (NLP)Introduction Machine learning algorithms play a crucial role in the field of natural language processing (NLP). Naive Bayes is one of the popular and effective algorithms used in NLP. In this article, we will explore the fundamentals of Naive Bayes a...Discuss·74 readsnlp
