NLP based approach to automatically categorize your bookmarks!
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Updated
May 14, 2024 - Python
NLP based approach to automatically categorize your bookmarks!
Forecasting weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine
This is the project that I created while working at TCS iON. The model is deployed on Heroku using Flask.
I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, Extra Tree Regressor, Extra Tree Classifier, Decision Tree Classifier, Binary Logistic Regression and calculated accuracy score, confusion matrix and…
Documentation of multinomial naivebayes from scratch.
Text Classification using scikit-learn. Classify BBC articles.
AI chatbot designed for the coaching institute to respond to the students regarding the course details and deployed in the Flask web framework. Apart from that it can respond to the uses anything they ask.
Predict location of twitter users based on text contents (TF-IDF, chi-square)
Webapp para classificar comentários (positivos, negativos e neutros) advindos do Facebook usando Natural Language Toolkit (NLTK) + Django e Bootstrap na interface Web.
The aim of this project is to help people to figure the disease they might have based on the symptoms in their bodies currently
Youtube Spam Comment Detector
An efficient text classification pipeline for email subjects, leveraging NLP techniques and Multinomial Naive Bayes. Easily preprocess data, train the model, and categorize new email subjects. Ideal for NLP enthusiasts and those building practical email categorization systems using Python.
Graduation Project - Sentiment Mining
This project trains a model using Multinomial Naive Bayes algorithm to predict gender of a person from his/her first name. For this project, we used a dataset downloaded from data.gov which contains a zip file containing 142 txt files. There are files for every year from 1800 to 2021.
UIUC MCS-DS Fall 2018 CS410 Project
Analyse of election machine texts from the Finnish parliament elections 2015
Big Data Project - SSML - Spark Streaming for Machine Learning
Email Spam detection using python and three different algorithms.
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