中文文本挖掘|舆情分析|Hadoop|Java|MapReduce

Final year project (Heart disease prediction using machine learning techniques)

Klasifikasi status gizi balita naive bayes berbasis web (flask)

Let's hunt Fake News using Word2Vec, GloVe, FastText or learnt from corpus German embeddings.

Design Laboratory: Cybersecurity, Reliability and Risk – malware discovery with machine learning

Artificial Intelligence projects at University of Tehran; Fall01

This project is to build Forecasting Models on Time Series data of monthly sales of Rose and Sparkling wines for a certain Wine Estate for the next 12 months.

javascript实现朴素贝叶斯分类器（Naive-Bayesian-classification）

Kaggle Competition - Natural Language Processing with Disaster Tweets

Classification of obstructive and non-obstructive pulmonary diseases on the basis of spirometry using ML

TCC project. Use sentiment analysis to classify students comments into positive and negative, allowing teachers to know their opinions.

A quick reference guide for creating prediction models using R caret.

Repository for the "Fundamentos del Aprendizaje Automático" subject

Exploratory Data Analysis on various data set.

An ML-based Smart Parking System with a reservation system. Hardware simulation through Tinkercad connected via Thingspeak channels.

Predict user purchases with confidence using PurchasedOrNo, a Python-Flask web app powered by the Naive Bayes algorithm. Quickly set up and explore the intuitive interface for accurate predictions based on user behavior.

Given the title of a fake news article A and the title of a coming news article B, program classifies B into agree, disagree, and unrelated.

Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modif…

Real time application of Sentiment Analysis on Movie Reviews. A Machine Learning Flask App hosted on Heroku and created on Google Colab. https://swetakesurnlp-playground.herokuapp.com

Machine Learning Project to build an algorithm which identifies Enron Employees who may have committed fraud based on the public Enron financial and email dataset.