Day-23

Day 23 of #100DaysOfCode

Task

1. Statistics for ML
2. House price prediction

Resources

• StatQuest with Josh Starmer Machine Learning Playlist
• Kaggle House price prediction Challenge
• • My Notebook 1
• • My Notebook 2

Topics I have learnt

1. Statistics for ML

• ML Intro
• Cross Validation
• The Confusion Matrix
• Senstivity and Specificity

2. House price prediction

• Used XGBRegressor, cross-validation & OrdinalEncoding

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

• House_price_prediction_9.ipynb
• House_price_prediction_10.ipynb

Conclusion:

Today I learned about Confusion Matrix & Senstivity and Specificity in Statistics. Also did house price prediction.