A Simple conversational chatbot built using NLU concepts. The project uses reddit comments taken from 2015, which has about 1.7 billiion interactions.

Detecting 'FAKE' news using machine learning.

In this project we are comparing two approaches for movie recommendation for a new user or existing user based on their age, gender, occupation.

Hire the Perfect candidate. HackerEarth Competitions solution.

Penerapan TF-IDF Vectorizer dan Passive Aggressive Classifier dalam pendeteksian berita palsu dengan Python.

BERT model based sentiment analysis of tweets

Compute the TF-IDF matrix from a collection of documents to measure the importance of words for text analysis and information retrieval tasks.

Program that can take in large amounts of .csv files in the same directory and trains a deep learning neural network model based on the best/worst students evaluated by the user. Second program then utilizes the model from the first program to produce a projected report for each individual student inputted.

Python-based web application, Flask platform, utilizes a powerful Content-Based Filtering Algorithm to provide personalized recommendations excercises

ML Full text search system. Flask, Selenium parser, preprocessing, TF-IDF, Word2Vec