Finding insights from a dataset of over 500K emails related to Enron's financial fraud
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Updated
Apr 20, 2021 - Jupyter Notebook
Finding insights from a dataset of over 500K emails related to Enron's financial fraud
This sentiment was performed on Twitter to determine overall opinion on US Airlines. Companies and brands often utilize sentiment analysis to monitor brand reputation across social media platforms or across the web as a whole. An application of Data Science/Machine Learning in the Aviation Industry.
Enhance data analysis and machine learning skills in the 'Industrial Copper Modeling' project. Tackle complex sales data challenges, employ regression models for pricing predictions, and master lead classification for targeted customer solution
Online Transaction Fraud Detection using Machine Learning along with Web app creation using Streamlit and deployed on Heroku
AI/ML based web application powered by Streamlit.
It is a coronavirus self-assessment app that aims to provide a self-assessment test that will identify the severity of the symptoms and advise whether you should get tested or not.
Repo containing the source code for my personal website.
Introduction to Data Science and Data Visualization
Tool demonstrating time series decomposition
Recommendation Website
This project is made to find Price of Used Cars by Various Factors made in Jupyter Notebook
A simple smart parking system to keep yourselves updated of the parking slots that are available in a specific registered area to save the hassle of searching for one.
Hecho con streamlit
A Streamlit app to predict statistics of sentiment scores of input.
Enabling visual search using Elasticsearch to perform lookup for similar images, given a reference image.
Deployed Streamlit web app on Heroku, to predicti disease using Machine Learning
End-to-end computer vision application for detecting red apples in real world images
End to End machine learning project on classification using cloud based deployment
A content-based recommender system where movies are recommended to the user based on his entered name. The movies are recommend based on the movie genre, tags, actors, directors etc.
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