maschine-learning

Sequential model-based optimization with a `scipy.optimize` interface

Next.js on 🤗 Spaces

Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)

In this repository I have build three neural network architectures to accurately classify water bottle brands from a custom image dataset.

Hands Control System (HCS) - an application/system that uses AI/computer vision to control a computer mouse by means of movement and hand gestures.

AI based Massive Multiplayer Online Simulation

Portfolio selection is a method for constructing a portfolio of securities.

Needle components for Haystack projects.

2D Linear Regression Model

CV project - clustering low-res images, part of IAD at WUT

ML проект для предсказания победителя в CS2 матчах на Faceit.

Repo containing analysis on white wine dataset using R.

This project focuses on predicting air quality, specifically PM 2.5 values, in the Africa/Nairobi region using time series analysis techniques. The goal is to develop accurate models that can forecast PM 2.5 levels and provide valuable insights for environmental monitoring and public health.

Masterschool_Machine Learning

This project was conducted as part of the coursework for a Master's program in Machine Learning/Data Science, focusing on model optimization.

The following tools enables to quickly predict the price of the particular asset via Machine Learning Techniques LSTM implementation

Python functions to facilitate the pre-processing of data for ML tasks in a clinical context

Completing Project by WorldQuant University in Datascience to gain experience in python programming

The objective of this exercise is to compare the performance of five different regression algorithms on the **Diabetes dataset** (from scikit-learn). The ultimate goal is to **predict a patient's disease progression after one year** (a numeric target) and interpret the strengths and weaknesses of each model based on standard regression metrics.

ML проект по предсказанию дефицита курьеров.