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def connect_to_platform(platform_url):
import requests
response = requests.get(platform_url)
if response.status_code == 200:
return response.json()
else:
raise Exception("Failed to connect to platform")
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import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier

# Load dataset
data = pd.read_csv('bidding_data.csv')
X = data.drop('winner', axis=1)
y = data['winner']
# Split into training and testing sets
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)

# Train model
model = RandomForestClassifier()
model.fit(X_train, y_train)
# Predict
predictions = model.predict(X_test)
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import ssl
context = ssl.create_default_context(ssl.Purpose.CLIENT_AUTH)
context.load_cert_chain('path/to/cert.pem', 'path/to/key.pem')
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