The primary goal of this project is to develop an algorithm capable of accurately segregating individuals into credit score brackets. This algorithm aims to reduce manual efforts involved in credit score determination by leveraging machine learning techniques.
Through the utilization of advanced algorithms and predictive modeling, the algorithm endeavors to …
Today, I am going to talk about another SQL topic - PyPika. Okay, What is PyPika?
Basically, PyPika is a SQL query builder, which written in Python and doesn't limit the expressiveness of SQL. The advantages of PyPika are fast, expressive and flexible way to replace handwritten SQL.
To help you …
I have been learning Python for a while. I recently have looked back my old labs and projects and noticed that I had written bad codes which caused memory waste, the server need more time to run. Thus, I want to summarize some bad coding habits to help you to …
We have been playing data with Excel files for a while. Have you questioned if you have very large datasets, how can you deal with that?
In other words, we need a tool that is able to capably manage or interact with very large datasets. This is why we have …
In our projects, we often deal with datasets containing many features. Some of them may decrease the accuracy of models. In this blog, I am going to show you some automatic ways of selecting relevant features. Imagine that you got a dataset with hundreds of features and you do not …
Let me tell you one of the biggest misconceptions aspiring data science newbies have nowadays. Real-world work is not something that the newbies think while studying in school. Unfortunately, you will surprise that the real-world projects give you a headache with data cleaning. In fact, 70%-80% of your time …