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
A web-app that uses a vanilla generative adversarial network and unsupervised learning to generate random 28X28x1 plasma style images of digits from 0 to 9
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.
Using this machine learning-based web application we can classify users whether genuine or fake based on features of the user and text messages.
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.
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WhatsApp Chat Analysis
Repo containing the source code for my personal website.
implement k-means from scratch and visualize demo
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Introduction to Data Science and Data Visualization
Enables you to backtest or develop financial strategies. The application is built with streamlit and yfinance libraries, and it allows you to select the stocks you would like to inspect from a pre-defined list of stocks.
Tool demonstrating time series decomposition
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Pi approximations calculated using infinite series and Monte Carlo methods
This is a movie recommendation website built with Python
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.
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