The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
☆384Mar 31, 2017Updated 8 years ago
Alternatives and similar repositories for MTH594_MachineLearning
Users that are interested in MTH594_MachineLearning are comparing it to the libraries listed below
Sorting:
- Lecture notes and code for Machine Learning practical course on CMC MSU☆891May 7, 2018Updated 7 years ago
- Машинное обучение на ФКН ВШЭ☆3,632Updated this week
- Подборка ресурсов по машинному обучению☆1,448Jan 12, 2021Updated 5 years ago
- Kaggle 'Search Results Relevance' 2nd place solution☆80Jul 16, 2015Updated 10 years ago
- Open Machine Learning Course☆10,452Jan 24, 2026Updated last month
- DL course co-developed by YSDA, HSE and Skoltech☆1,712Dec 12, 2025Updated 2 months ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆286Oct 6, 2017Updated 8 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆25Dec 10, 2015Updated 10 years ago
- Масштабируемое машинное обучение и анализ больших данных с Apache Spark☆21Mar 11, 2018Updated 7 years ago
- Minimal and clean examples of machine learning algorithms implementations☆10,953Jun 15, 2025Updated 8 months ago
- Jupyter notebooks in Russian. Introduction to Python, basic algorithms and data structures☆613Sep 1, 2022Updated 3 years ago
- kaggle walmart-recruiting-sales-in-stormy-weather☆48May 30, 2015Updated 10 years ago
- "Data Mining in Action Course", Moscow Institute of Physics and Technologies☆215May 6, 2021Updated 4 years ago
- Healthcare Twitter Analysis☆26Apr 8, 2016Updated 9 years ago
- Creates models to classify documents into categories☆66Sep 30, 2017Updated 8 years ago
- the 2nd place solution for West Nile Virus Prediction challenge on Kaggle☆36Jun 24, 2015Updated 10 years ago
- DL Course Materials☆106Apr 5, 2017Updated 8 years ago
- Материалы курса "Глубинное обучение", ФКН ВШЭ, бакалаврская программа ПМИ☆159Sep 19, 2022Updated 3 years ago
- ☆12Jun 5, 2016Updated 9 years ago
- Dionis predictors blender☆10Oct 21, 2015Updated 10 years ago
- Stochastic Dummy Boosting☆25Mar 9, 2016Updated 9 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆383Jan 8, 2022Updated 4 years ago
- Deep NLP Course☆632Jul 20, 2019Updated 6 years ago
- Machine Learning toolbox for Humans☆700Jul 31, 2024Updated last year
- XGBoost Feature Interactions & Importance☆501Nov 5, 2017Updated 8 years ago
- Приёмы в машинном обучении☆202Feb 25, 2024Updated 2 years ago
- Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)☆329Aug 29, 2022Updated 3 years ago
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆185Mar 21, 2023Updated 2 years ago
- Exponential Machines implementation☆43Mar 4, 2025Updated 11 months ago
- ☆66May 9, 2023Updated 2 years ago
- ☆78Mar 17, 2019Updated 6 years ago
- Various cheatsheets in PDF☆18Jun 8, 2017Updated 8 years ago
- Репозиторий направления Production ML, весна 2021☆53Jun 19, 2021Updated 4 years ago
- Cherry picked DS educational materials☆81Mar 13, 2017Updated 8 years ago
- A course in reinforcement learning in the wild☆6,436Sep 21, 2025Updated 5 months ago
- A set of useful tools for competitive data science.☆554Dec 8, 2022Updated 3 years ago
- Telstra Network Disruptions - Predict service faults on Australia's largest telecommunications network☆13Oct 28, 2016Updated 9 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆183Sep 17, 2018Updated 7 years ago
- Source code for my collection of articles on using pandas.☆1,574Dec 14, 2022Updated 3 years ago