KNN-Classification

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

df = pd.read_csv('../DATA/gene_expression.csv')

df.head()

sns.scatterplot(x='Gene One', y='Gene Two', hue='Cancer Present', data=df, alpha=0.6)

sns.scatterplot(x='Gene One',y='Gene Two',hue='Cancer Present',data=df, alpha=0.6)
 
plt.xlim(2,6)
plt.ylim(3,10)

from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler

X = df.drop('Cancer Present',axis=1)
y = df['Cancer Present']

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)

scaler = StandardScaler()