Ensemble-Classifier

Topics and Methods Learned:

1. In this notebook, I have covered comprehensive machine learning analysis, the exploration and preprocessing of a rock dataset involving examining statistical values and visualizations to understand attribute distributions and identify potential outliers
2. Pearson Correlation Coefficient
3. scatter plots
4. Multinomial Logistic Regression, Support Vector Machines, and Random Forest classifiers
5. Ensemble learning
6. Hyperparameter optimization