According to experts, the wine is differentiated according to its smell, flavor, and color, but we are not a wine expert to say that wine is good or bad. What will we do then? We will use ML to predict it's quality
Libraries to be installed
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.ensemble import RandomForestClassifier
from sklearn.svm import SVC
from sklearn.linear_model import SGDClassifier
from sklearn.metrics import confusion_matrix, classification_report
from sklearn.preprocessing import StandardScaler, LabelEncoder
from sklearn.model_selection import train_test_split, GridSearchCV, cross_val_score
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import accuracy_scorevolatile acidity : Volatile acidity is the gaseous acids present in wine.
fixed acidity : Primary fixed acids found in wine are tartaric, succinic, citric, and malic
residual sugar : Amount of sugar left after fermentation.
citric acid : It is weak organic acid, found in citrus fruits naturally.
chlorides : Amount of salt present in wine.
free sulfur dioxide : So2 is used for prevention of wine by oxidation and microbial spoilage.
total sulfur dioxide
pH : In wine pH is used for checking acidity
density
sulphates : Added sulfites preserve freshness and protect wine from oxidation, and bacteria.
alcohol : Percent of alcohol present in wine.