dePaco

dePaco's Stars

• yakimka/python_interview_questions

  Вопросы для подготовки к интервью на позицию Python Developer

  Language:CSS1.6k334

• yandexdataschool/Practical_DL

  DL course co-developed by YSDA, HSE and Skoltech

  Language:Jupyter Notebook1.5k630

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python65.3k14.6k

• yandexdataschool/nlp_course

  YSDA course in Natural Language Processing

  Language:Jupyter Notebook9.7k2.6k

• IrinaGoloshchapova/ml_system_design_doc_ru

  29853

• IlyaGusev/rulm

  Language modeling and instruction tuning for Russian

  Language:Jupyter Notebook44251

• microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  Language:C++16.5k3.8k

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.1k8.7k

• bdemeshev/cuped_statistician_viewpoint

  statistician viewpoint on cuped

  Language:TeX2

• emeli-dral/mlops-zoomcamp

  Free MLOps course from DataTalks.Club

  Language:Jupyter Notebook3

• Minyus/causallift

  CausalLift: Python package for causality-based Uplift Modeling in real-world business

  Language:Python33542

• evdeev/working-calendar

  Language:Python62

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML8.7k1.9k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.3k2.2k

• stalkermustang/bcdc_ds_takehome

  Blockchain.com Data Scientist TakeHome (February 2022)

  Language:HTML346

• lazyprogrammer/financial_engineering

  Get the course here: https://deeplearningcourses.com/c/ai-finance

  Language:Python14050

• bdemeshev/probability_pro

  Language:TeX97

• bdemeshev/probability_dna

  The best problems on elementary probability. The DNA of our probability culture :)

  Language:TeX326

• lazyprogrammer/machine_learning_examples

  A collection of machine learning examples and tutorials.

  Language:Python8.3k6.3k

• miptgirl/clickhouse_for_analytics

  Best practices of using ClickHouse for analytical tasks

  Language:Jupyter Notebook41

• MobileTeleSystems/Ambrosia

  Ambrosia is a Python library for A/B tests design, split and result measurement

  Language:Python21916

• andkret/Cookbook

  The Data Engineering Cookbook

  13.5k2.5k

• alex-sokolov2011/100_Numpy_exercises_Rus_ver

  100 упражнений по numpy версия на русском

  Language:Jupyter Notebook16030

• valiotti/leftjoin

  LEFTJOIN.ru public repository

  Language:Jupyter Notebook2410

• balezz/scipy.ru

  Документация по scipy на русском языке

  Language:HTML65

• firmai/industry-machine-learning

  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

  Language:Jupyter Notebook7.2k1.2k

• Ebazhanov/linkedin-skill-assessments-quizzes

  Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

  28.4k13.4k

• maks-sh/scikit-uplift

  :exclamation: uplift modeling in scikit-learn style in python :snake:

  Language:Python71796

• DmitrySerg/otus-public

  Открытые материалы моих куров по машинному обучению на OTUS

  Language:Jupyter Notebook3629

• WhatIThinkAbout/BabyRobot

  A Baby Robot's Guide to Reinforcement Learning

  Language:Jupyter Notebook18482