Enhance model score.

[rubalsxngh]

Description:

Our current model scores need improvement model/model_selection.ipynb. Here are the current scores:

• Linear Regression: 0.2667
• Lasso Regression: 0.2744
• Decision Tree: 0.2371

Suggestions:

• Explore feature engineering possibilities.
• Experiment with different hyperparameters.
• Investigate ensemble methods.

Contributors are invited to analyze and enhance the models for better performance.

[rubalsxngh]

Increased efficiency of model from 0.2744 to 0.6298

• Switched to using z-scores for outlier detection, resulting in more robust outlier identification and improved model performance.
• Additionally, expanded model selection to include a wider range of algorithms, resulting in a 35% increase in efficiency.