Contains 5th Semester AIML Lab programs

A collection of data science concepts, datasets, industry-applications, walk-through's & notes. See ISSUES tab for in-depth studies by topics.

A scalable, explainable Java Naive Bayes Classifier that works either in memory or on persistent fast key-value store (MapDB, RocksDB or LevelDB)

Naïve Bayes Algorithm is implemented from scratch in order to classify spam and not spam emails.

Aims to build and test classification models to predict salaries from the text contained in the job description.

End-to-end implementation and deployment of Machine Learning Restaurant Reviews Sentiment Analysis using python, flask, gunicorn, scikit-Learn, nltk, etc. on the Heroku web application platform.

Code templates for data prep and different ML algorithms in Python.

Predicting whether an SMS (text message) is spam using natural language processing (NLP), naive Bayes classifier and cross validation (in Python)

This is a simple python program to train a classification model using decision tree, random forest and Naive Bayes algorithms

Native_Bayes_Sentimientos Básico

Implementation of natural language processing, supervised and unsupervised machine learning methods for classifying events around the US to automate a travel start-up's recommendation pipeline. Includes interactive command line tool.

Interactive Streamlit Visualisation for a Naive Bayes Classfier

The aim of the iris flower classification is to predict flowers based on their specific features.

A generic Naive Bayes Classifier from Scratch in Python 2 with the following principles: OOP, GUI,Files I/O (csv and txt), design patterns(observer-observable and MVC), the project is OS independent.

Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.

Klasifikasi Berita dengan Naive Bayes

Customer Churn is a burning problem for Telecom companies. In this project, we simulate one such case of customer churn where we work on a data of postpaid customers with a contract. The data has information about the customer usage behaviour, contract details and the payment details. The data also indicates which were the customers who cancelle…

Test and comparison of ensemble method with naive bayes classifier on 5 different data sets.

Objective of the program is to classify, nearest earth object as hazardous or not.