Our project employs machine learning to pinpoint phishing URLs with 97.4% accuracy, leveraging HTTPS and website traffic as critical indicators. Insights into features like AnchorURL enhance cybersecurity strategies, showcasing the power of AI in combating online threats.

Comparision of classifiers

This project aims to predict credit risk for individuals applying for loans, classifying whether they will default based on features such as age, income, employment length, loan amount, interest rate, percentage of income, credit length, home ownership, and loan intent.

This code is going to be used to scrape the UCPD Daily Incident page at a pre-determined frequency and store the incidents on a generic JSON data-store.

Malicious URL detector built with deep exploration on feature engineering.

Descriptive Statistical Analysis of the NBA Defensive Player of the Year race since 2013-14

Showcasing my projects in machine learning, deep learning, and bioinformatics tools

I constructed a knowledge graph of stakeholders of Bavarian state ministries and used network analysis to calculate statistics. Furthermore time-series feature forecasting and topological link prediction was employed to analyze the evolution of the network.

Problem Statement: Based on the customer data, should we give a loan?

Using machine learning (XG boost) to increase the annualized return of a personal loan portfolio.

This script creates a ML model, utilizing an XGBoost classifier, to predict the likelihood of an individual developing cervical cancer. The script asks the user for their age, smoking status, age of first sexual intercourse, number of pregancies, and IUD status and then predicts their risk of cervical cancer based on the model output.

Scripts, figures and working notes for the participation in FungiCLEF-2022, part of the 13th CLEF Conference, 2022

Salary Prediction API using Flask predicts salaries for freshers joining organizations based on factors like past experience, company switches, courses completed, and academic marks. This Flask-based API allows users to input their details and receive a salary prediction. With no user interface, it's designed for integration into other applications

Development of new ML library

Movie Counsel helps you to get tailored Movie/Series recommendation with an inbuilt Sentiment Analyzer Tool for Movie Reviews

Deployment of classification algorithms for customer classification

AI-Models for Smart Irrigation System