Contents

• cross-validation
• datascience
• eda
• evaluation metrics
• feature generation
• hyperparameter tuning
• kaggle
• losses
• machine-translation
• nlp
• preprocessing
• seq2seq

cross-validation

How to win a data science competition (Week 2) • Jun 19, 2019

datascience

How to win a data science competition (Week 4) • Jun 29, 2019

How to win a data science competition (Week 3) • Jun 26, 2019

How to win a data science competition (Week 2) • Jun 19, 2019

How to win a data science competition (Week 1) • Jun 14, 2019

eda

How to win a data science competition (Week 2) • Jun 19, 2019

evaluation metrics

How to win a data science competition (Week 3) • Jun 26, 2019

feature generation

How to win a data science competition (Week 1) • Jun 14, 2019

hyperparameter tuning

How to win a data science competition (Week 4) • Jun 29, 2019

kaggle

How to win a data science competition (Week 4) • Jun 29, 2019

How to win a data science competition (Week 3) • Jun 26, 2019

How to win a data science competition (Week 2) • Jun 19, 2019

How to win a data science competition (Week 1) • Jun 14, 2019

losses

How to win a data science competition (Week 3) • Jun 26, 2019

machine-translation

Word Level Seq2Seq Model • Aug 11, 2020

nlp

Word Level Seq2Seq Model • Aug 11, 2020

preprocessing

How to win a data science competition (Week 1) • Jun 14, 2019

seq2seq

Word Level Seq2Seq Model • Aug 11, 2020