Post🤖 A Practical Tip for ML Data Collection

🤖 A Practical Tip for ML Data Collection When building a machine learning project, getting enough useful data is often just as important as the model itself. If you're collecting public web data for a dataset, you may need to access the same source from different locations or test how location affects the data returned. A residential proxy can help with this by routing your requests through IPs from different regions. For example, with Python: import requests proxies = { "http": "http://USER:PASSWORD@HOST:PORT", "https": "http://USER:PASSWORD@HOST:PORT" } response = requests.get( "https://example.com", proxies=proxies ) print(response.status_code) Replace USER, PASSWORD, HOST, and PORT with your proxy credentials. 🚀 711Proxy provides real residential IPs across 200+ countries and regions, with SOCKS5 support and sticky sessions — useful for data collection, testing, and other location-based ML workflows. 🎁 1GB free for testing New users can use 711TRIAL to get 1GB of residential proxy traffic. 👉 https://www.711proxy.com After registration, contact 711Proxy support and mention “711TRIAL” to claim the trial. Available to eligible new users.