Day-31

Day 31 of #100DaysOfCode

Task

1. Titanic dataset prediction challenge

Resources

• Kaggle Titanic - Machine Learning from Disaster
• • My Notebook 1
• • My Notebook 2

Topics I have learnt

1. Titanic dataset prediction

• One with RandomForestClassifier and OneHotEncoding
• One with XGBClassifier and OneHotEncoding
• One with same as above but removed Outliers from data.

2. Also participated in MLH Global Hack Week INIT 2023 🔗

• Did 1 challenge
• And tried to make discord bot but failed

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

My Notebooks

• Titanic_survival_competition_2.ipynb
• Titanic_survival_competition_3.ipynb
• Titanic_survival_competition_4.ipynb

Conclusion:

Today I did titanic survival compeition prediction 3 times, one time I scored better. I have used XGBClassifier, RandomForestClassifier.