amoshnin

CAD-Plugins

🎈 List of all my open source CAD (Fusion 360) plugins I developed/maintained/improved and have been using for automation of my own work of using Fusion 360 CAD Software.

GUIDE-Node-NestStructure

NestJS (Express + TypeORM + GraphQL + MongoDB) codebase containing real world examples (CRUD, auth, advanced patterns).

GUIDE-R-FormikYup

Harvard.Python-Machine.Learning

📘 Harvard University - CS50's "Introduction to Artificial Intelligence with Python" course solved assignments. Files include complete source code, data & video illustrations of problem solutions

ML-Credit.Card.Fraud.Detection.Anomaly.Detection

My machine learning pet project on Credit Card Fraud Detection as an Anomaly Detection Problem with Autoencoders

ML-Credit.Card.Fraud.Detection.Classification

My machine learning pet project on Credit Card Fraud Detection as a Classification Problem

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-Pairwise.Ranking.and.Sentiment.Analysis

My machine learning pet project on (E-Commerce product reviews) with (Pairwise Ranking and Sentiment Analysis)

ML-Topic.Modelling.to.Group.Customer.Reviews

My machine learning pet project on topic modelling using K-Means clustering to group customer reviews

amoshnin/GUIDE-R-FormikYup

amoshnin/ML-Pairwise.Ranking.and.Sentiment.Analysis

My machine learning pet project on (E-Commerce product reviews) with (Pairwise Ranking and Sentiment Analysis)

amoshnin/amoshnin

Information about me

amoshnin/C-Learning.Workspace

amoshnin/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.

amoshnin/GRP-MoneyMix

Mobile financial budgeting cross-platform app. Built with TypeScript (React Native and Redux)

amoshnin/GRP-Pomidoro

Mobile food ordering and home delivery marketplace applications for customers and couriers. Built with TypeScript (React Native and Redux)

amoshnin/Java-Learning.Workspace

amoshnin/Java-Recruitment.Platform

amoshnin/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.

amoshnin/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.

amoshnin/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.

amoshnin/ML-Apache.Spark

amoshnin/ML-Conversational.Chatbot.with.NLTK

My machine learning pet project on Conversational Chatbot application using the NLTK text classification library

amoshnin/ML-Customer.Churn.Prediction

My machine learning pet project on Customer Churn Prediction Analysis using Ensemble Techniques

amoshnin/ML-LLM.Courses.Platform.Questions.Answerer

amoshnin/ML-LLM.Retail.Store.Language.Database.Query

amoshnin/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.

amoshnin/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

amoshnin/ML-Retail.Recommender.System

My machine learning pet project on a recommender system used in retail

amoshnin/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

amoshnin/ML-Theory.for.Learning.to.Rank.Algorithms

amoshnin/Python-Learning.Workspace

amoshnin/React-University.Modules.Structurer

amoshnin/Swift-COVID.Statistics.Tracker

Swift UI cross-platform app for tracking COVID-19 infection (Multiplatform iOS 14 + Widget) 🦠 📈

amoshnin/Work-Logs.Processing

amoshnin/Swift-Design.World

amoshnin/Swift-Learn.World

amoshnin/Work-HTOL.PDM

amoshnin/Work-HTOL.TMON