Реализация модели, определяющая отменит ли клиент бронирование номера в отеле. Также описан удобный для студентов банковский продукт, помогающей с организацией отдыха.

Fast and customizable framework for automatic ML model creation (AutoML)

A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.

IT Purple Hackathon - Building LLM-based RAG chat-bot for the Central Bank of Russia

🧑🏽‍💻 Solving HR-specialists resume matching problems using modern NLP approaches (Fine-tuning BERT-like models, Clusterization, AutoML)

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Exploration of timeseries LSTM RNN prediction in pytorch, keras, tensorflow, and tensorflow.contrib.keras.

CatBoost tutorials repository

Материалы по курсу анализу данных

Home assignments for data science positions

🔥Highlighting the top ML papers every week.

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Predicting patient recovery using ML algorithms, image recognition for sanctuary by computer vision models, recommendation system for advertising banners

Feature Selection using Genetic Algorithm (DEAP Framework)

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.