Hire the Perfect candidate. HackerEarth Competitions solution.
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Updated
Sep 13, 2021 - Python
Hire the Perfect candidate. HackerEarth Competitions solution.
Python-based web application, Flask platform, utilizes a powerful Content-Based Filtering Algorithm to provide personalized recommendations excercises
In this project we are comparing two approaches for movie recommendation for a new user or existing user based on their age, gender, occupation.
Detecting 'FAKE' news using machine learning.
Penerapan TF-IDF Vectorizer dan Passive Aggressive Classifier dalam pendeteksian berita palsu dengan Python.
A Simple conversational chatbot built using NLU concepts. The project uses reddit comments taken from 2015, which has about 1.7 billiion interactions.
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.
ML Full text search system. Flask, Selenium parser, preprocessing, TF-IDF, Word2Vec
Compute the TF-IDF matrix from a collection of documents to measure the importance of words for text analysis and information retrieval tasks.
BERT model based sentiment analysis of tweets
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