An advanced image processing library

Analyze the data of batting figures of batsmen in ODI matches by Choosing strike rate and average as the two factors on which clustering the data

For an UK based non-store online retail for which we need to cluster it's customers in to different groups so that we can run targeted campaign for each group

A US-based housing company named Surprise Housing has decided to enter the Australian market. The company uses data analytics to purchase houses at a price below their actual values and flip them on at a higher price.

This project is based on the Indian and Southeast Asian market. Analyse customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn and identify the main indicators of churn.

[CVPR 2022 Oral] Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations

Python package to get the full time series for any search query with daily frequency.

Simple but powerful batch image rescaler.

Logistic regression model build on lead score data to score leads on the basis of their probability of conversion.

A cross-platform PowerShell script that enhances encoding workflows with ffmpeg & VapourSynth.

The multi-page application is designed to view images via the Unsplash API