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·31 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·70 readsnlp

Dharshini Sankar Rajdharshinisankarraj.hashnode.dev·Feb 21, 2023Class Conditional Independence - Naive Bayes ClassifierA set of straightforward probabilistic classifiers known as the Naive Bayes classifier are based on Bayes' theorem and assume high feature independence. The probability of an event occurring in relation to the probability of another event that has al...Discuss·26 readsData Science

Priyansh Patidarpriyansh32.hashnode.dev·Feb 21, 2023Multiclass Classification using Gaussian Naive Bayes from scratchGaussian Naive Bayes is a popular algorithm for classification tasks, especially for problems involving continuous numerical data. This blog will discuss implementing multiclass Classification using Gaussian Naive Bayes through a vectorization approa...Discuss·155 readsMachine Learning

Luis Jose Mendez mendezluisjose.hashnode.dev·Feb 19, 2023Wine Classification ModelMulti Classification Wine Model with Random Forest. The Model predicts if a Wine is Regular, Good or Excellent by its levels of alcohol, pH, sulphates, citrics, etc. The different Machine Learning Algorithms that were used for the Wine Dataset were: ...Discuss·45 readsRandom Forest

Muhammad Faizanmuhfaizan001.hashnode.dev·Aug 20, 2022Email Classifier using Machine Learning AlgorithmProblem We have to do the binary classification and trained model for classifying whether the email lies in spam or ham category. Flow to solve the problem 1. Download input file Input csv file can be downloaded from the link. 2. Data Preprocessi...Discuss·145 readsPython