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Criar um notebook de análise exploratória `notebooks/01-exploratory_data_analysis.ipynb`, contendo as seguintes seções de texto:
- [x] #3
- [x] #4
- [ ] #5
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**Version (please complete the following information):**
- OS: [e.g. Windows] MacOS
- Browser [e.g. Chrome, Firefox] Arc
- Web Clipper version: [e.g. 0.5.0] )0.9.4 (latest from chrome plugin sh…
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- [x] Find ranges of all feature
- [x] Find all features missing values
- [x] Add temporal data for time
- [x] Trend analysis,
- [x] Seasonality analysis,
- [x] Cyclicity Analysis,
- [x] Auto…
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We surely need an EDA for this data. It is always recommended to do EDA whenever make a ML model to properly check insite of data.
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- [ ] Create a notebook in the environment
- [ ] Come with interesting visualizations and queries to answer the following questions:
- [ ] What are the most and least popular cards in standard?
…
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Gain basic insight about the dataset and its nature:
- Size
- perform data cleaning
- Generate statistics and visuals
- Identify features
- Data transformation if needed
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- [x] similarity by title
- [x] non similarity by title
- [x] similarity by image
- [x] non similarity by image
- [x] simple observe to look up at image if the title seems highly not similar but m…
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This might include some questions and comments for @jaklinger and @russwinch