A generic Naive Bayes Classifier from Scratch in Python 2 with the following principles: OOP, GUI,Files I/O (csv and txt), design patterns(observer-observable and MVC), the project is OS independent.

Sentiment analysis with spark

The projects I've worked on in my under-graduate education.

Predicting whether an SMS (text message) is spam using natural language processing (NLP), naive Bayes classifier and cross validation (in Python)

Machine Learning Algorithms implemented using Numpy and Scipy

Created an api using flask to take user input statement, clean the dataset, model the data, and classify the statement as positive, negative or neutral.

Implementation of natural language processing, supervised and unsupervised machine learning methods for classifying events around the US to automate a travel start-up's recommendation pipeline. Includes interactive command line tool.

Customer Churn is a burning problem for Telecom companies. In this project, we simulate one such case of customer churn where we work on a data of postpaid customers with a contract. The data has information about the customer usage behaviour, contract details and the payment details. The data also indicates which were the customers who cancelle…

Code templates for data prep and different ML algorithms in Python.

A simple implementation of the Naive Bayes Algorithm to understand its inner workings.

End-to-end implementation and deployment of Machine Learning Restaurant Reviews Sentiment Analysis using python, flask, gunicorn, scikit-Learn, nltk, etc. on the Heroku web application platform.

Naïve Bayes Algorithm is implemented from scratch in order to classify spam and not spam emails.

Personality test which classifies in four personality types. For the classification is used the natural language processing classification algorithm - Multinomial Naive-Bayes.

Interactive Streamlit Visualisation for a Naive Bayes Classfier

The purpose of this analysis is to build a prediction model to predict whether a review on the restaurant is positive or negative

A clickbait headline analysis which tells you if the headline is good to be attracted by users or not.

Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.

A collection of data science concepts, datasets, industry-applications, walk-through's & notes. See ISSUES tab for in-depth studies by topics.