🖼️ Text2Meme is a Meme Classification Experiment based on Caption Text (Implemented as a Discord Bot)

AI Biceps Curl Counter

Cuisine Predictor is a python based tool which uses LinearSVC and kNeighborsClassifier to predict the cuisine and similar dishes from Yummly catlog.

DiagnoX is an open source project dedicated to diagnosing rare diseases. The original code is designed and specialized towards

Building machine learning classifiers to label tweets as "Hate Speech", "Offensive Language", or "Neither"

Hate speech detection — YouTube comment classifier (TF-IDF + LinearSVC, 78.5% accuracy) + AI polite chatroom moderator.

A project to predict if customer churns or not using ML algorithms

A project on classification of GitHub readme sections using Machine Learning

There are three classes InfoTheory, CompVis and Math. These can occur in any combination, so an article could be all three at once, two, one or none. The job is to build text classifiers that predict each of these three classes individually using the Abstract field.

NLP analysis of ~200K AI news articles to identify impacted industries, companies, technologies, topics, and sentiment trends.

This project implements preprocessing, feature engineering, and multiple machine learning models to build a robust genre classification system.

5 Machine Learning Classifier trained and tested on streaming data folders ( to mimic real time data streaming ) using PySpark.

Sentiment analysis of Yelp reviews using Apache Spark and machine learning models.

Predicting Police Attendance on Road Accidents

Spam Text Classifier / Penn State University

This is the material for Jose Portilla's Spark and Python for Big Data and ML course.

Trained and compared multiple ML models on a Kaggle thyroid cancer dataset. Tested class balancing and PCA to see how preprocessing affects each model.

Have build a predictive model to determine the likelihood of survival for passengers on the Titanic using data science techniques in Python.