Artem Moshnin's repositories
ML-Pairwise.Ranking.and.Sentiment.Analysis
My machine learning pet project on (E-Commerce product reviews) with (Pairwise Ranking and Sentiment Analysis)
CAD-Innovative.Desk.Lamp.Design
This repository contains my CAD project in which I've designed an Innovative Desk Lamp for working professionals, students and niche specialists requiring optimal desk lighting solutions.
GRP-MoneyMix
Mobile financial budgeting cross-platform app. Built with TypeScript (React Native and Redux)
GRP-Pomidoro
Mobile food ordering and home delivery marketplace applications for customers and couriers. Built with TypeScript (React Native and Redux)
Microcontroller-Drone.Program.STM32
This is my microcontroller programming pet project containing the source code and documentation for a prototype drone designed for defensive and scientific purposes in a post-zombie apocalyptic world. The primary mission of the drone is to defend the sanctuary, take environmental measurements, and transmit data to scientists within the sanctuary.
Microcontroller-Insertion.Sorting.Algorithm
This is the GitHub repository of my pet propject that contains the implementation of an efficient insertion sort algorithm in ARM assembly language. The project addresses three key questions related to array manipulation, register usage, and optimization strategies.
Microcontroller-Vehicle.Robot.Catapult
This repository houses the code for my Arduino-based Microcontroller Project, featuring a catapult robot designed to navigate through a challenging obstacle course. The robot's mission is to successfully surmount a sequence of obstacles before ultimately launching a catapult ball over a tall barrier.
ML-Conversational.Chatbot.with.NLTK
My machine learning pet project on Conversational Chatbot application using the NLTK text classification library
ML-Customer.Churn.Prediction
My machine learning pet project on Customer Churn Prediction Analysis using Ensemble Techniques
ML-Human.Activity.Recognition
My machine learning pet project on Human Activity Recognition Using Multiclass Classification with fitness data from a smartphone tracker
ML-Medical.Diabetes.Prediction
This is my machine learning pet project that contains the code and documentation for a comprehensive data analysis and machine learning project focused on predicting diabetes based on a diverse set of factors. The project is divided into three parts: Exploring the Dataset, Building the Classification Model, and Conclusion.
ML-Real.Time.Streaming.of.Twitter.Sentiments
My machine learning / big data pet project on building a pipeline for real-time streaming of twitter sentiments with AWS-EC2 and Apache NiFi
ML-Retail.Recommender.System
My machine learning pet project on a recommender system used in retail
ML-Taxi.Service.Demand.Prediction
My machine learning pet project on predicting future ride requests for a particular region at a given time using Time Series Forecasting and Clustering with Mini-Batch K-means Algorithm
ML-Topic.Modelling.to.Group.Customer.Reviews
My machine learning pet project on topic modelling using K-Means clustering to group customer reviews
Swift-COVID.Statistics.Tracker
Swift UI cross-platform app for tracking COVID-19 infection (Multiplatform iOS 14 + Widget) 🦠 📈