This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.

categorizing news: fake or not

Uses letter frequency and catboost classifier model in synchronous for guessing letters in hangman game instance. The model performance is evaluated on both seen words in the dictionary and words out of the dictionary.

ML-bot that detects toxicity in russian texts.

Multimodal Sentiment Analysis using Text and Image Data on twitter dataset

Командный проект по Векторной электрокардиографии

Android malware detection using machine learning.

Classifying if a landslide occured or not

A model on the streamlit framework predicts disease and makes a treatment recommendation

A Domestic violence support system for the victims, that enables users to share their thought and provides knowledge about the particular type of abuse they are going through.

This is my final solution to the Mars-spectrometry challenge by NASA hosted on @drivendataorg

A model classifying whether a person would survive on Titanic

Expresso Churn Prediction Challenge - dealing with imbalanced dataset

auto avia offer in Aeroclub hackathon

Identify health insurance customers with interest in a vehicle insurance.

This project focuses on predicting house prices using machine learning techniques. The dataset consists of over 1,000,000+ rows and 12 columns containing information about various house attributes. The goal is to build predictive models to estimate house prices based on these attributes.

Global plastic waste is a pressing environmental issue, with massive production, limited recycling, and high risks to ecosystems and human health

Web Server Log Analysis

Data Analysis and prediction on Kaggle dataset: Credit Risk Dataset