Name		Name	Last commit message	Last commit date
parent directory ..
data		data
Titanic_survival_competition_6.ipynb		Titanic_survival_competition_6.ipynb
Titanic_survival_competition_7.ipynb		Titanic_survival_competition_7.ipynb
readme.md		readme.md

readme.md

Day 33 of #100DaysOfCode

Task

Titanic dataset prediction challenge
Data Science project challenge in GHW

Resources

Kaggle Titanic - Machine Learning from Disaster
- My Notebook 1
- My Notebook 2
MLH - Global Hack Week INIT 2023 hackathon
- Create an Animation

Topics I have learnt

Titanic dataset prediction

With XGBClassifier and did Feature Engineering using Mutual Information and by creating new features.
Same as above but used less features.

Also participated in MLH Global Hack Week INIT 2023 🔗

Did 1 challenge created An Aquarium animation

Software used

Jupyter Notebook
Python 3.10.2
Numpy 1.22.4
pandas 1.4.2
Matplotlib 3.5.2
Seaborn 0.11.2
scikit-learn 1.1.1
XGBoost 1.6.1
HTML5
CSS3

My Notebooks

Conclusion:

Today I did titanic survival compeition & scored better by creating new features and participated in Global Hack Week hackathon & completed Create an Animation challenge.