• 👋 Hi, I’m @Kashishbhattt
• 👀 I’m interested in computer science
• 🌱 I’m currently learning ai using python
• <--
• my project tpic is:Data Collection and Preprocessing
• --> import pandas as pd import numpy as np from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler

Load dataset

data = pd.read_csv('equipment_data.csv')

Preprocess data

data.dropna(inplace=True) # Drop missing values X = data.drop('failure', axis=1) # Features y = data['failure'] # Target variable

Split data into training and testing sets

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

Standardize features

scaler = StandardScaler() X_train = scaler.fit_transform(X_train) X_test = scaler.transform(X_test)