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      one_md_per_day_format/projects/project1/project1.md

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one_md_per_day_format/projects/project1/project1.md

@ -22,7 +22,8 @@ The sinking of the Titanic is one of the most infamous shipwrecks in history. On
While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others.
In this challenge, you have to build a predictive model that answers the question: **“what sorts of people were more likely to survive?”** using passenger data (ie name, age, gender, sociol-economic class, etc).
In this challenge, you have to build a predictive model that answers the question: **“what sorts of people were more likely to survive?”** using passenger data (ie name, age, gender, socio-economic class, etc). **You will have to submit your prediction on Kaggle**.
## Preliminary
@ -62,6 +63,7 @@ project
- `EDA.ipynb` contains the exploratory data analysis. This file is should contain all steps of data analysis that contributed or not to improve the accuracy. It has to be commented so that the reviewer can understand the analysis and run it without any problem.
- `scripts` contains python file(s) that perform(s) the feature engineering, the model's training and prediction on the test set. It could also be one single Jupyter Notebook. It has to be commented to help the reviewers understand the approach and run the code without any bugs.
- **Submit your predictions on the Kaggle's competition platform**. Check your ranking and score in the leaderboard.
### Scores

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