Machine Learning

Summary: I have seen this error when the Python requests library or the underlying urllib3 package cannot verify a server’s SSL certificate against your local trust store which can be seen in corporate proxy environments, local dev setups, or systems with outdated certificate bundles. Checkout cool headphones on Amazon What This Error Means When we try to […]

summary: This kind of error occurs when your Python environment or AWS CLI cannot validate the SSL certificate of a server against its local trust store which is commonly seen in corporate networks with SSL inspection or outdated certificate bundles. Checkout cool headphones on Amazon What This Error Means When our Python code or the

summary: I got this error when the pip cannot verify the SSL certificate of the Python package repository while installing packages on windows, linux or Ubuntu. This is majorly seen inside virtual environment , corporate networks, or fresh Python installations   Checkout cool headphones on Amazon What This Error Means When we run the command

Summary: Error occurs when Python cannot verify the SSL/TLS certificate of a remote server while making HTTPS requests, installing packages using pip or calling APIs in scripts, virtual environments, Docker containers or production servers.   Checkout cool headphones on Amazon What does ssl certificate_verify_failed mean ? While making an HTTPS request using Python we need

While working with objects in Python, we will often need to inspect, list or access attributes dynamically. Whether we are debugging, building frameworks, or designing dynamic systems, understanding how to get attributes of objects in Python is a must have skill. In this tutorial we will explore multiple ways to get all attributes of object

XGBoost or XGB stands for extreme gradient boosting. In XGB, feature importance points to how much a particular feature contributes to the model’s predictions. It is very important to know which features contribute most to the models’s prediction when we have a large number of columns in the dataset. XGBoost provides several ways to compute

Pandas is a very helpful library for manipulating, analyzing, and extracting meaningful information from data files. While working with a CSV file or Excel file I got an error EmptyDataError: No columns to parse from file. To give an overview, the error occurs when we try to read a file that appears to be empty

When we are working with numbers in Python, we sometimes come across situations where we get numbers like 34.00001, 10000.2358, etc. But in certain situations, these decimal points don’t add value to our calculation and we want to round or truncate the decimals. In this blog, we will see several techniques for truncating decimals using