Welcome to the FIFA Dataset Data Cleaning and Transformation project! This initiative focuses on refining and enhancing the FIFA dataset to ensure it is well-prepared for in-depth analysis. The project involves a comprehensive data cleaning process and transformation of key features to improve data quality and usability.

This repository contains my work on Oasis Info byte’s data analytics one month internship program.

A personal repository featuring datasets sourced from platforms like Kaggle, created to showcase my expertise in data cleaning and preprocessing. It includes both raw and cleaned datasets, with outliers and extreme values removed.

SORTS unorganised data into a table, this tool has been incredibly useful in speeding up editing of examination papers

This dataset contains the final cleaned version of the UCI Online Retail Dataset, which has been processed by #EaintKyawtHmu. Aspiring to be a part of the AI/ML field, I have undertaken the task of cleaning the data to make it suitable for analysis and modeling purposes.

Bank note detection authentication

This is my first saved project representing all the skills learned through SQL to clean data.