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data science

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data science

How to Frame a Machine Learning Problem | Design Your Data Science Project

Machine learning is the concept that a computer program can learn and adapt to new data without human intervention. It is a sub-field of artificial intelligence that keeps a computer’s built-in alg…

Parth Shukla

Ml wizard

data science

Why was "scipy.misc" removed, and what's next?

Miscellaneous routines in scipy included convenient functions. This article cover the removal of this feature. Table of content Why was _Miscellaneous routines_ r…

Abdul Khan

Data scientist

data science

Efficient Column Removal in Pandas: Dropping by Index or Range

When cleaning data in Pandas, we often need to remove columns. While dropping by name (df.drop(columns=['Name'])) is common, there are many scenarios where it’s more efficient to drop …

Abdur-Rahmaan Janhangeer

Chef

data science

How to Prepare Excel Files for Data Analysis with Pandas

Excel is the world’s most popular data tool, but for advanced analysis and machine learning, we often need to move our data into Python. The Pandas library makes this incredibly ea…

Abdur-Rahmaan Janhangeer

Chef

data science

Multi-Dimensional Euclidean Distance: Calculating Distance for N Features

In data science and machine learning, measuring the similarity between two points is a foundational task. One of the most common ways to do this is by calculating the Euclidean Distance…

Abdur-Rahmaan Janhangeer

Chef