toghrulutd Goto Github PK
Name: Toghrul Rasulov
Type: User
Bio: Data Science Enthusiast experimenting with machine/deep learning.
Name: Toghrul Rasulov
Type: User
Bio: Data Science Enthusiast experimenting with machine/deep learning.
This repository includes web-scraping, cleaning, preprocessing of Amazon customer reviews and aspect extraction and sentiment classification of reviews with spaCy language models and Deep Learning models.
The goal of this project is to build a hybrid NLP model (RNNs, BERT) to classify medical abstract sentences into the role they play (e.g. objective, methods, results, etc) to enable researchers to effectively skim through the literature and dive deeper when necessary.
Data engineering and machine learning pipeline for detecting ad fraud using TalkingData AdTracking dataset. The project includes data exploration, preprocessing, feature engineering, model training, and evaluation.
In this project, I have used industry scale customer data to predict credit card default probability using Ensemble learning methods. I have carried out extensive data preprocessing, feature engineering and selection, tuned model parameters and implemented various model explainability approaches to explain errors.
A curated list of references for MLOps
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
This is a Flask web app that predicts the price of used car based on its make, model, bodystyle, mileage, year, and location. The repository also covers web scraping the required data, model building and tuning.
In this project, I have used Gradient Boosting Regressor to predict used car prices from Poland's used car market. The project covers data preprocessing, handling categorical variables, feature transformation/engineering, and application and tuning of linear and ensemble learning methods, model explainability and residual analysis.
The objective of this project is to implement transfer learning and recent finetuning techniques proposed by two research papers. In this project, we use sharpness aware minimization, and MC dropout techniques to build an accurate image classification model with least training and beat the performance of original paper.
Instacart: Customer Purchase Behaviour Analysis and Product Recommendations
This project includes tasks such as applying DART ensemble learning, model tuning, data preprocessing, feature engineering, model explainability and residual analysis
The goal of this project is to develop an ensemble of Neural Basis Expansion networks trained on U.S. county-level data to predict monthly micro-business density in a given area for 8-month horizon.
This repository contains implementations of various recommender systems for the Movielens dataset, including matrix factorization with TensorFlow and Spark, Bayesian inference, restricted Boltzmann machines, and deep learning recommenders. The code is provided in Jupyter notebooks and Python scripts, along with notes on these topics.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.