Day-22

Day 22 of #100DaysOfCode

Task

1. Linear Algebra
2. Statistics for ML (not done)
3. House price prediction

Resources

• 3 Blue 1 Brown Linear Aglebra playlist
• Linear Algebra notes link
• Kaggle House price prediction Challenge
• • My Notebook 1
• • My Notebook 2

Topics I have learnt

1. Linear Algebra

• 3-d Linear Transformations
• Determinants

2. House price prediction

• One with 50 features using XGBRegressor
• One with data cleaning (removed outliers) & 41 features using XGBRegressor

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_7.ipynb
• House_price_prediction_8.ipynb

Conclusion:

Today I learned about 3-d linear transformations and determinants. Also did house price prediction using XGBRegressor.