Mushroom Classification
Performed data preprocessing and EDA on Wine dataset to analyze the strong correlation between features behaviors of mushrooms.
Developed a model to predict whether the the mushrooms are edible or poisonous using K-NN classification model with accuracy of 98 percent which is better than Naïve-Bayes Classifier model which is of accuracy 89 percent.