Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.
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Updated
Oct 31, 2019 - HTML
Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.
🔍 | 📈 | Life / Health Insurance Fraud Detection | 📋 | (Codeshahstra Round 1 Hackathon)
Data Science project using decision tree classifier
Team project for BA810 (Supervised Machine Learning)
A Team Project on developing COVID-19 predictor with chest X-Ray images as dataset under Data Science with R subject of Otto-von-Guericke-University, Magdeburg
Python-based web app to provide recommendations using the Decision Tree classification method
Applying unsupervised learning algoriths on online shoppers intention data and model building
A carpooling service which matches people on the basis of their interests, and personality types.
A social media website (more info in README.md file)
This project includes implementation of supervised machine learning algorithms in R language.
This repository contains tasks performed in Graduate Rotational Internship Program at The Spark Foundation.
Análise de Predições de Subscrições de Serviço. A base marketing foi utilizada para previsão de subscrições do serviço com modelos de classificação. No trabalho como um todo foram utilizados os modelos de Regressão Logística, Árvore de Decisão, SVM e Redes Neurais. Observação: Baixe o arquivo HTML para ver o trabalho completo em formato de relat…
Verify banknote specimens using various classification algorithms on Wavelet-Transformed images
Project done on heart failure data.
A web app that assists doctors in prescribing right medicine to patients in order to avoid drug side effects
Data Science/machine learning methods performed on the Titanic dataset
Iris Classification : Developed a ML Model for classifying iris flowers based on their features using Python, scikit-learn, and TensorFlow.
A predictive model built to recommend appropriate car model provided user's requirements. Presented through a CSS-styled web UI, also implemented using Python 3(Flask).
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