Kaggle: Google Analytics Customer Revenue Prediction

13 сентября 2018 — 16 февраля 2019
Осталось 1 час, 20 минут
In this competition, you’re challenged to analyze a Google Merchandise Store (also known as GStore, where Google swag is sold) customer dataset to predict revenue per customer. Hopefully, the outcome will be more actionable operational changes and a better use of marketing budgets for those companies who choose to use data analysis on top of GA data.

Kaggle: Elo Merchant Category Recommendation

27 ноября 2018 — 27 февраля 2019
Осталось 1 неделя, 4 дня
In this competition, Kagglers will develop algorithms to identify and serve the most relevant opportunities to individuals, by uncovering signal in customer loyalty. Your input will improve customers’ lives and help Elo reduce unwanted campaigns, to create the right experience for customers.

Sustainable Industry: Rinse Over Run

26 января 2019 — 1 марта 2019
Осталось 1 неделя, 6 дней
The goal of this competition is to predict turbidity in the last rinsing phase in order to help minimize the use of water, energy and time, while ensuring high cleaning standards.

Kaggle: Humpback Whale Identification

30 ноября 2018 — 1 марта 2019
Осталось 1 неделя, 6 дней
In this competition, you’re challenged to build an algorithm to identify individual whales in images. You’ll analyze Happywhale’s database of over 25,000 images, gathered from research institutions and public contributors. By contributing, you’ll help to open rich fields of understanding for marine mammal population dynamics around the globe.

Kaggle: Microsoft Malware Prediction

13 декабря 2018 — 14 марта 2019
Осталось 3 недели, 5 дней
As one part of their overall strategy for doing so, Microsoft is challenging the data science community to develop techniques to predict if a machine will soon be hit with malware. As with their previous, Malware Challenge (2015), Microsoft is providing Kagglers with an unprecedented malware dataset to encourage open-source progress on effective techniques for predicting malware occurrences.

Kaggle: VSB Power Line Fault Detection

21 декабря 2018 — 22 марта 2019
Осталось 1 месяц
Your challenge is to detect partial discharge patterns in signals acquired from these power lines with a new meter designed at the ENET Centre at VŠB. Effective classifiers using this data will make it possible to continuously monitor power lines for faults.

Kaggle: PetFinder.my Adoption Prediction

27 декабря 2018 — 29 марта 2019
Осталось 1 месяц, 1 неделя
In this competition you will be developing algorithms to predict the adoptability of pets - specifically, how quickly is a pet adopted? If successful, they will be adapted into AI tools that will guide shelters and rescuers around the world on improving their pet profiles' appeal, reducing animal suffering and euthanization.

Kaggle: Histopathologic Cancer Detection

16 ноября 2018 — 1 апреля 2019
Осталось 1 месяц, 2 недели
In this competition, you must create an algorithm to identify metastatic cancer in small image patches taken from larger digital pathology scans. The data for this competition is a slightly modified version of the PatchCamelyon (PCam) benchmark dataset (the original PCam dataset contains duplicate images due to its probabilistic sampling, however, the version presented on Kaggle does not contain duplicates).

Activities in Extended Videos Prize Challenge by IARPA

26 января 2019 — 15 мая 2019
Осталось 2 месяца, 4 недели
The Activities in Extended Videos Prize Challenge (ActEV-PC) seeks to encourage the development of robust automatic activity detection algorithms for an extended video. ActEV-PC is operated by NIST and sponsored by IARPA. Challenge participants will develop algorithms that address the "Activity Detection Task" which requires systems to detect and temporally localize the activity instance for 18 activities that are to be found in extended videos. Extended videos contain significant spans without any activities and intervals with potentially multiple concurrent activities. ActEV-PC will contain two phases – the ActEV-PC Open Leaderboard evaluation (Phase 1) and the ActEV-PC Independent evaluation (Phase 2).

Kaggle: LANL Earthquake Prediction

11 января 2019 — 4 июня 2019
Осталось 3 месяца, 2 недели
n this competition, you will address when the earthquake will take place. Specifically, you’ll predict the time remaining before laboratory earthquakes occur from real-time seismic data. If this challenge is solved and the physics are ultimately shown to scale from the laboratory to the field, researchers will have the potential to improve earthquake hazard assessments that could save lives and billions of dollars in infrastructure.

Kaggle: Two Sigma Using News to Predict Stock Movements

25 сентября 2018 — 16 июля 2019
Осталось 5 месяцев
By analyzing news data to predict stock prices, Kagglers have a unique opportunity to advance the state of research in understanding the predictive power of the news. This power, if harnessed, could help predict financial outcomes and generate significant economic impact all over the world.