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🏥 Bangladesh 🏨 Election 🏦 Voter 🏩 Tracker 🏪 Machine 🏫 Learning 🏬 is 🏭 a 🏯 data 🏰 science ⛪ project 🏤 designed 🕍 to 🕌 analyze 🏟 organize 🚅 and 🚂 track 🚌 voter 🚋 related 🚞 election ✈ data 🛩 in 🛫 Bangladesh 🚁 the 🚟 system 🚠 leverages 🛸 techniques 🚀 and 🛸 data 🛼 analytics 🚛 to 🪐 uncover ☂ patterns 🛺

Machine learning using convolution neural network Required: raspberry pi pi cam compatibile rc car motor driver l293d Please create the respective files: forward idle left right reverse optimized_thetas This project aims to build an autonomous rc car using supervised learning of a neural net... Read more

Overview For this assignment you will be developing and implementing : An On-Demand shortest-hop Routing (ODR) protocol for networks of fixed but arbitrary and unknown connectivity, using PF_PACKET sockets. The implementation is based on (a simplified version of) the AODV algorithm. Time clien... Read more

A machine learning system designed to identify fraudulent credit card transactions using Python and statistical analysis.

Welcome to the Healthcare Prescription Detection System, a machine learning-based solution designed to assist in recommending medicines based on healthcare data. This project leverages various machine learning algorithms to predict the most appropriate prescription for patients.

Clinical Insight Engine is a full-stack clinical decision support system designed to surface early diabetes risk signals from routine patient data. It combines a Python-based interpretable machine learning model with a modern React frontend, presenting results differently for clinicians and patie... Read more

A comprehensive malware detection and dynamic analysis system, designed to analyse malware samples and benign files & classify them using a pre-trained machine learning model, and perform dynamic analysis on the detected malware.

An awesome list of machine learning relative system design blog posts from cool eng blogs

This repository will simulate an IoT-based predictive maintenance system designed to monitor industrial equipment through sensors. It will include data ingestion, processing, and machine learning components to predict potential failures, optimizing maintenance schedules and reducing downtime.

Applied unsupervised machine learning algorithms (K-Means Clustering and Isolation Forest) on time series data collected from an Air Handling Unit of a building to detect anomalous behavior of the system. Applied exploratory data analysis using Python to identify non-optimal working conditions o... Read more