Often for structured data problems we end up using multiple libraries for preprocessing or feature engineering. We can go as far as having…

Comparing the performance and ease of use for ML tasks

Step into a World of Photorealistic Wonder with Midjourney V5. New images by --v5 [update may 3, 2023]

One small hype for ‘some’, or one more ‘giant leap for mankind’?

Interested to get into AI? Read this first.

In this blog:

A five minute read that can save you a lot of time and trouble in landing your first data science job.

I have tried to explain Linear Regression in easiest possible way along with example.

Superimpose facemasks using OpenCV-dlib library

“Many strategies used in machine learning are explicitly designed to reduce the test error, possibly at the expense of increased training…

A Study of the Pandemic and its connection to Global Performance using Machine Learning in R & Tableau

A radical approach to the problem of A.I. bias.

A complete understanding of what I learned from training VAEs for half a year

With Python, Scikit-learn and Yellowbrick

Better decision making may mean widening, or narrowing horizons — depending on whether you are a human or a machine

Here’s The Problem

KNN regression

Case Study: Free-Form Structures based on Iranian-Traditional-Geometries