Pinned Repositories
CAD-Plugins
🎈 List of all my open source CAD (Fusion 360) plugins I developed/maintained/improved and have been using for personal work automation 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's Repositories
amoshnin/ML-Demand.Prediction.of.Driver.Availability
My machine learning pet project on demand prediction of driver availability using multistep time series analysis
amoshnin/ML-Fire.Detection.with.Image.Segmentation.using.Deep.Learning
My machine learning pet project on early fire detection with image segmentation using deep learning (Mask R-CNN with Tensorflow)
amoshnin/CS.Python-DataStructures.Algorithms
📘 List of (Algorithms, Data Structures & Coding Problems) 🐍 Implemented in Python with detailed explanations and links to further readings | Preparation for coding interviews 🚀
amoshnin/Java-SpringBoot.Monolith-and-Microservices
amoshnin/JS-D3
🚀 Advanced Data Visualizations (D3.js) and interactable animations. Huge variety of dynamic & interactive graphs and charts made with D3.js library
amoshnin/MATLAB-Machine.Learning.Algorithms
amoshnin/MIPT.CPP-Competitive.Programming
📘 MIPT University - Olympiad School of Competitive Programming (C++) Curated repository with full explanations, solutions & written lectures collected throughout my academic experience at MIPT school
amoshnin/ML-Abstractive.Text.Summarisation.with.Transformers.BART
My machine learning pet project on Abstractive Text Summarisation using Google's Transformers-BART model to generate news article headlines
amoshnin/ML-Augmented.Reality.CutPaster
amoshnin/ML-Credit.Card.Fraud.Detection.Anomaly.Detection
My machine learning pet project on Credit Card Fraud Detection as an Anomaly Detection Problem with Autoencoders
amoshnin/ML-Credit.Card.Fraud.Detection.Classification
My machine learning pet project on Credit Card Fraud Detection as a Classification Problem
amoshnin/ML-Customer.Churn.Prediction.Deployment.on.AWS
My machine learning pet project on Customer Churn Prediction Analysis using Ensemble Techniques deployed on AWS
amoshnin/ML-Customer.Review.Classifier.with.Deep.Learning
My machine learning pet project on Customer Review Classification using Deep Learning methods (GRU)
amoshnin/ML-Expedia.Agency.Hotel.Recommendation
My machine learning pet project on contextualising customer data provided by Expedia Group Travelling Agency to predict the likelihood of a user staying at 100 different hotel groups
amoshnin/ML-Face.Recognition.System.with.FaceNet
My machine learning pet project on building a face recognition system using FaceNet
amoshnin/ML-Fake.News.Classifier.with.Deep.Learning
My machine learning pet project on Fake News Classification using Deep Learning methods (RNN, LSTM, GRU)
amoshnin/ML-Loan.Eligibility.Prediction.with.Gradient.Boosting
My machine learning pet project on predicting whether or not a loan should be given to an applicant using Gradient Boosting
amoshnin/ML-Plant.Species.Image.Classifier
My machine learning pet project on performing image classification of plant species using different benchmark classification techniques
amoshnin/ML-Production.Line.Failure.Detector
My ML pet project on predicting failures at production line of Bosch using measurements & tests made for each component along the assembly line.
amoshnin/ML-Quora.Duplicate.Questions.Detector
My machine learning NLP pet project on performing detection of duplicates amongst Quora questions (questions with same meaning)
amoshnin/ML-Skip.Gram.for.Word.Embeddings
Implemented the skip gram algorithm in NLP for word embeddings on a set of documents.
amoshnin/Python-Game.of.Life
🍒 My replica realisation of famous game: "Game of Life" (invented by mathematician John Conway) in Python & PyGame. Game components are implemented as classes in accordance with OOP principles 🦾
amoshnin/Python-Kaggle.Competitions.Drafts
amoshnin/Python.ML-Sales.Analysis
amoshnin/Python.ML-Terrorism.Analysis
amoshnin/R-Pathfinding.Algorithms.Visualizer
⚡️ Visualization tool for various pathfinding and recursive division maze-generation algorithms. List: (A* Search, Depth-First Search, Breadth-First Search, Greedy Best-First Search)
amoshnin/Data-Structures-and-Algorithms
An Open-Source repository that contains all the Data Structures and Algorithms concepts and their implementation in several ways, programming questions and Interview questions. The main aim of this repository is to help students who are learning Data Structures and Algorithms or preparing for an interview.
amoshnin/Java-Spring.Microservices.Config
amoshnin/javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
amoshnin/ML-Tensorflow.Developer.Certificate