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Nickolay's Projects

deep_learning_2018-19 icon deep_learning_2018-19

Официальный репозиторий курса Deep Learning (2018-2019) от Deep Learning School при ФПМИ МФТИ

deep_learning_2019-20_main icon deep_learning_2019-20_main

Официальный репозиторий курса Deep Learning (2019-2020), продвинутый поток

dlcourse_ai icon dlcourse_ai

Материалы курса Deep Learning на пальцах

hse-shad-ml icon hse-shad-ml

:mortar_board: Введение в машинное обучение. Курс от ВШЭ и ШАД на coursera.org

kaggle_crowdflower icon kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

ml-course-msu icon ml-course-msu

Lecture notes and code for Machine Learning practical course on CMC MSU

mlalgorithms icon mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

mth594_machinelearning icon mth594_machinelearning

The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

tpot icon tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

xgboost icon 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, Flink and DataFlow

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