Loading...

The Noders Platform

The official AI competition platform of The Noders Community — for data scientists and ML practitioners to compete, practice, and grow.

Quick Links

Home
Competitions
Practice
Dashboard

Resources

Verify Certificate
Privacy Policy
Terms of Service

Privacy Terms

Self-paced · Always open

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

2 problems found

Beginner

Large Movie Review Dataset (IMDB) with Pretrained Word Embedding Approaches

F1 Score · Classification

Building upon classic NLP classification benchmarks, this project leverages pretrained word embeddings to construct sentiment classification models on the Large Movie Review Dataset (IMDB). Instead of relying strictly on sparse frequency-based representations like Bag-of-Words or TF-IDF, participants will explore the usage of dense vector representations to capture deeper semantic relationships. By integrating fixed, pretrained word vectors with downstream classifiers or custom aggregation strategies, this challenge highlights how semantic feature transfer can improve natural language understanding under rigid computational constraints.

NLP_Classification, SpaCy, Gensim_GloVe

10.7748Solve →

Beginner

Large Movie Review Dataset (IMDB) with Machine Learning Approaches

F1 Score · Classification

Modeled after landmark NLP benchmarks and academic text-classification challenges, this project utilizes the renowned Large Movie Review Dataset (IMDB) to build machine learning models for binary sentiment classification. Participants will experience a classic natural language understanding pipeline, optimizing traditional machine learning models to accurately predict whether a movie review is positive or negative based purely on raw text.

NLP_Classification, SpaCy

10.8087Solve →