Collection of stats, modeling, and data science tools in Python and R.

Code and Resources for "Applied Machine Learning"

Telegram Data Clustering contest solution by Mindful Squirrel

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals to find relevant research articles, and respond to rapidly spreading COVID-19 promptly.

Second Project of the Udacity Self-Driving Car Nanodegree Program

ugtm: a Python package for Generative Topographic Mapping

Machine Learning Applications using Sklearn, matplotlib, pandas, and seaborn

DNA methylation-based classification of central nervous system tumours

gitbook version of my master's thesis on Global Terrorism. Live version:

detecting phishing websites using machine learning

This repository contains code and bonus content which will be added from time to time for the books "Learning Generative Adversarial Network- GAN" and "R Data Analysis Cookbook - 2nd Edition" by Packt

Modelling with Tidymodels and Parsnip - A Tidy Approach to a Classification Problem

A collection of simple machine learning projects, that got me started in this wonderful domain!

Source Code Analysis Integrated Framework Environment (SCAIFE) API: YAML specification

A DataCamp course for the University of Helsinki

This script module provides the functionality to reset all Microsoft® AIP/MIP/AD RMS client services and collect and analyze data for troubleshooting.

Repo for assignments for Georgia Tech's CS 7641 course

To use deep learning to identify patients whose tumor DNA mutations “look similar to” other tumors for which treatments are effective.

Bird sound identification web application

📈 Machine Learning from the perspective of a Statistician using R

Classifying Forest Cover type

A repository where I work with both R and Python to predict whether someone would show up for a medical appointment or not.

Mini blog for notes and guides on Machine Learning (Open Notes)

Traffic Sign Classifier using Deep Neural Networks and CNN.

Real time Object detection using OpenCV with hosted Flask server

It is a Flask Application to predict a person covid positive/negetive based on chest x ray of a person.This Machine Learning Web Application utilizes a Two-Layered Convolutional Neural Network to process the chest-x-ray Images and predict if they are corona positive/negetive accuracy of nearly 81%.

Материалы курса "Интеллектуальный анализ данных"

My submissions for three courses of the Coursera specialization Data Science (with R)