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Practice Problems

Sharpen your ML skills with permanent practice problems. Submit your predictions anytime and compare your score on the global leaderboard.

4 problems · 8 topics · 6 submissions

AllAll Levels BeginnerBeginner MediumIntermediate AdvancedAdvanced

TopicsAll CV_Classification CV_Dectection CV_Segmentation Gensim_GloVe Multi-output NLP_Classification SpaCy Tabular_Regression

1 problem found

Beginner

Electric Motor Temperature Estimation

RMSE (Root Mean Squared Error) · Regression

Building upon real-world automotive diagnostics and thermal monitoring benchmarks, this project leverages multi-variable sensor streams to estimate critical internal temperatures of a Permanent Magnet Synchronous Motor (PMSM). Instead of relying strictly on independent cross-sectional regression, participants will navigate sequential 2 Hz data streams, address the open challenge of missing values from cropped data segments, and generalize to entirely unseen driving cycles. By designing unified multi-output systems or ensembled sub-models under rigid offline constraints, this challenge highlights how advanced feature engineering and temporal dynamics can reliably infer economically unmeasurable physical parameters for motor safety and control optimization.

Tabular_Regression, Multi-output

119.1769Solve →