import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
# Load and prepare dataset
df = pd.read_csv("data.csv")
X = df.drop("target", axis=1)
y = df["target"]
# Train-test split
X_train, X_test = train_test_split(X, y)
# Train model
model = RandomForestClassifier(n_estimators=100)
model.fit(X_train, y_train)
accuracy = model.score(X_test, y_test)
print(f"Accuracy: {accuracy}")import React from "react";
import { Header, Footer } from "./components";
const skills = ["React", "Node.js", "TypeScript"];
function Portfolio() {
return (
<div className="app">
<Header title="CodesByViral" />
<h1>Full Stack Developer & Data Scientist</h1>
<p>Welcome to CodesByViral</p>
<Skills data={skills} />
<Projects featured />
<Contact email="hello@viral.dev" />
<Footer />
</div>
);
}
export default Portfolio;