Embeddings

Quora Insincere Questions Classification
Detect toxic content to improve online conversations
Quora Question Pairs
Can you identify question pairs that have the same intent?
Categorical Feature Encoding Challenge II
Binary classification, with every feature a categorical (and interactions!)
What's Cooking? (Kernels Only)
Use recipe ingredients to categorize the cuisine
Bag of Words Meets Bags of Popcorn
Use Google's Word2Vec for movie reviews
What's Cooking?
Use recipe ingredients to categorize the cuisine
Toxic Comment Classification Challenge
Identify and classify toxic online comments
Categorical Feature Encoding Challenge
Binary classification, with every feature a categorical
Deepfake Detection Challenge
Identify videos with facial or voice manipulations
Porto Seguro’s Safe Driver Prediction
Predict if a driver will file an insurance claim next year.
Gendered Pronoun Resolution
Pair pronouns to their correct entities
Jigsaw Unintended Bias in Toxicity Classification
Detect toxicity across a diverse range of conversations
Flavours of Physics: Finding τ → μμμ
Identify a rare decay phenomenon
Mercari Price Suggestion Challenge
Can you automatically suggest product prices to online sellers?
Avito Demand Prediction Challenge
Predict demand for an online classified ad
Allstate Claims Severity
How severe is an insurance claim?
Google Cloud & NCAA® ML Competition 2019-Men's
Apply Machine Learning to NCAA® March Madness®
ASHRAE - Great Energy Predictor III
How much energy will a building consume?
Instant Gratification
A synchronous Kernels-only competition
Movie Review Sentiment Analysis (Kernels Only)
Classify the sentiment of sentences from the Rotten Tomatoes dataset
Microsoft Malware Prediction
Can you predict if a machine will soon be hit with malware?
TensorFlow 2.0 Question Answering
Identify the answers to real user questions about Wikipedia page content
Store Item Demand Forecasting Challenge
Predict 3 months of item sales at different stores
TalkingData AdTracking Fraud Detection Challenge
Can you detect fraudulent click traffic for mobile app ads?