This project uses data mining to analyze student performance and predict pass/fail outcomes.
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Updated
Jun 8, 2024 - Jupyter Notebook
This project uses data mining to analyze student performance and predict pass/fail outcomes.
Klasifikasi Berita dengan Naive Bayes
Contains 5th Semester AIML Lab programs
This project aims to address the challenge of predicting whether it will rain or snow in Hungary based on various meteorological variables.
A scalable, explainable Java Naive Bayes Classifier that works either in memory or on persistent fast key-value store (MapDB, RocksDB or LevelDB)
Test and comparison of ensemble method with naive bayes classifier on 5 different data sets.
Models to detect real pictures from fake photoshoped pictures
This is a simple python program to train a classification model using decision tree, random forest and Naive Bayes algorithms
Implementing different model for Income Classification Python
The aim of the iris flower classification is to predict flowers based on their specific features.
Objective of the program is to classify, nearest earth object as hazardous or not.
Aims to build and test classification models to predict salaries from the text contained in the job description.
WEB AND SOCIAL MEDIA ANALYSIS
Predicts the iris-plant-type using Naive Bayes algorithm and iris plant dataset from https://archive.ics.uci.edu/ml/datasets/iris
A collection of data science concepts, datasets, industry-applications, walk-through's & notes. See ISSUES tab for in-depth studies by topics.
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
A clickbait headline analysis which tells you if the headline is good to be attracted by users or not.
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