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To build a classification methodology to predict whether a website is a phishing website on the basis of given set of predictors.
A ML project based on aqi data
This project classifies and detects malicious websites by analyzing various factors such as the URL of the website, IP address, the geographic location of where the website is hosted and other factors.
A simple program for classification of fruits on basis of color using KNN.
Steam is a video game digital distribution service with a vast community of gamers globally. A lot of gamers write reviews at the game page and have an option of choosing whether they would recommend this game to others or not. However, determining this sentiment automatically from text can help Steam to automatically tag such reviews extracted from other forums across the internet and can help them better judge the popularity of games
Explore my Kaggle competition solution repository for the year 2912. Join in to help rescue passengers trapped in an alternate dimension!
Classifying Wine Quality Data Based on Different Supervised Learning Methods - Logistic Regression, Decision Tree, Random Forest & Support Vector Machine.
This project focuses on building a credit card fault detection model using machine learning techniques. The model aims to predict default payments based on various demographic and credit-related features.
Repo for machine Learning and Deep Learning Projects
A deep learning model to classify Captcha images
Machine Learning in python and its ML Libraries
Implemented machine learning algorithms to analyze historical weather data
Classification model to predict if the client will subscribe to a term deposit based on the given bank dataset
Collaborated with Davies Biological Sciences Lab at the University of New Brunswick to automate the manual sorting of 45k shadowgraph images captured underwater in the Bay of Fundy for research purposes. Utilized computer vision and deep learning to develop an ensemble model that achieved a 94.42% accuracy rate, striking an optimal False Positive-F
This is the repo for my fourth year Honour Thesis project repository
Predicting Heart Disease using Machine Learning model
Classify iris plants into three species in this classic dataset