Mushroom Classification

Dataset Description:

-The dataset contains 8124 instances with 22 features, describing hypothetical samples of 23 gilled mushroom species. Each species is labeled as edible ('e') or poisonous ('p'), with some missing values present.

Algorithms:

-Logistic Regression
-Decision Tree Classifier
-Random Forest Classifier
-Support Vector Machine (SVM)
-Stochastic Gradient Descent (SGD)

Methods:

-Feature Encoding
-Feature Selection
-Hyperparameter Tuning GridSearchCV
-Feature Scaling

Functions:

-Correlation Analysis
-Train-Test Split
-Model Evaluation
-Overfitting Check