juran-87 Goto Github PK

data-science-interview-questions-answers

Curated list of data science interview questions and answers

ml-course

Open Machine Learning course

ml-course-hse

Машинное обучение на ФКН ВШЭ

ml-courses-7bits

ml_pocket_reference

Resources for Machine Learning Pocket Reference

nn_dl_annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

nn_dl_the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

numpy-and-pandas

Numpy and Pandas are one of the most important building blocks of knowledge to get started in the field of Data Science, Analytics, Machine Learning, Business Intelligence, and Business Analytics. This Tutorial Focuses to help the Beginners to learn the core Concepts of Numpy and Pandas and get started with Machine Learning and Data Science.

pycore

Python Cheatsheet. I'm using this repository to document my journey through Python.

python_intro

Jupyter notebooks in Russian. Introduction to Python, basic algorithms and data structures

qt_awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

qt_backtrader

Python Backtesting library for trading strategies

qt_backtrader_moexalgo

MOEX API AlgoPack integration with Backtrader. На данных с биржи MOEX теперь можно создавать полноценные торговые стратегии. Проводить Backtesting и делать Live торговлю через брокеров Алор, Финам и тех, у кого есть торговый терминал Quik.

qt_backtraderquik

Провайдер для автоторговли в BackTrader из Quik

qt_blog

Code and data for my blogs

qt_finampy

Библиотека-обертка, которая позволяет работать с функционалом Finam Trade API брокера Финам из Python

qt_financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python.

qt_moexalgo

qt_pandas-ta

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

qt_quantitative_strategies

This includes a notebook on how to implement Quantitative Strategies, specifically the Pairs Trading Algorithm.

qt_quantlib-python-docs

Documentation for QuantLib-Python

qt_quantstats

Portfolio analytics for quants, written in Python

qt_quikpy

Библиотека-обертка, которая позволяет получить доступ к функционалу Quik из Python

qt_skfolio

Python library for portfolio optimization built on top of scikit-learn

qt_trading_machinelearning

Machine learning and artificial intelligence

scikit-portfolio

A portfolio optimization tool with scikit-learn interface. Hyperparameters selection and easy plotting of efficient frontiers.

sql-complete-advanced-series-

This repository contains everything you need to become proficient in Advanced SQL

ts_time-series-analysis-and-forecasting

This repository contains everything you need to become proficient in Time Series Analysis and Forecasting

ts_timeseries

Timeseries for everyone