Artem Moshnin's repositories
ML-Fake.News.Classifier.with.Deep.Learning
My machine learning pet project on Fake News Classification using Deep Learning methods (RNN, LSTM, GRU)
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
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-Customer.Review.Classifier.with.Deep.Learning
My machine learning pet project on Customer Review Classification using Deep Learning methods (GRU)
ML-Credit.Card.Fraud.Detection.Classification
My machine learning pet project on Credit Card Fraud Detection as a Classification Problem
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
ML-Demand.Prediction.of.Driver.Availability
My machine learning pet project on demand prediction of driver availability using multistep time series analysis
ML-Customer.Churn.Prediction.Deployment.on.AWS
My machine learning pet project on Customer Churn Prediction Analysis using Ensemble Techniques deployed on AWS
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)
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
ML-Face.Recognition.System.with.FaceNet
My machine learning pet project on building a face recognition system using FaceNet
ML-Plant.Species.Image.Classifier
My machine learning pet project on performing image classification of plant species using different benchmark classification techniques
ML-Skip.Gram.for.Word.Embeddings
Implemented the skip gram algorithm in NLP for word embeddings on a set of documents.
ML-Quora.Duplicate.Questions.Detector
My machine learning NLP pet project on performing detection of duplicates amongst Quora questions (questions with same meaning)
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.
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 🦾
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 🚀
javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
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.
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
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)