- Kernel: A modest example on the Levenshtein distance
- Kernel: TestingStreamlit
- Kernel: Favorita Forecasting model (1 bronze medal)
- Kernel: Titanic dataset (my first submission)
- Kernel: DecisionTree_with_Iris_Dataset
- Kernel: LogisticRegression_on_Complete_Titanic_Dataset
- Kernel: SentimentAnalysis_IMDB_50K_Movie_Review (1 bronze medal)
- Kernel: KC_Houses_With_LinearRegression
- Kernel: Use ngrok with streamlit (just a simple example)
🎯
Focused
Lifelong learning ( ͡~ ͜ʖ ͡°)
- Italy
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05:55
(UTC +01:00) - https://it.linkedin.com/in/francescopl
- https://www.kaggle.com/francescopaolol
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FavoritaTimeSeriesForecasting
FavoritaTimeSeriesForecasting PublicSee: https://www.kaggle.com/competitions/store-sales-time-series-forecasting
Jupyter Notebook 2
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SentimentAnalysis
SentimentAnalysis PublicAbout sentiment analysis on IMDB Dataset of 50K Movie Reviews
Jupyter Notebook 3
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LearningNLP_with_Transformers
LearningNLP_with_Transformers PublicJust what I'm learning about NLP with Transformers
Python 1
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