Embark on a transformative "100 Days of Machine Learning" journey. This curated repository guides enthusiasts through a hands-on approach, covering fundamental ML concepts, algorithms, and applications. Each day, engage in theoretical insights, practical coding exercises, and real-world projects. Balance theory with hands-on experience.

This Project is based on a mobile company ‘XYZ Mobiles’, a fictional China-based mobile company .

This project automates ETL for gym exercise data, predicting safety scores using KNN and optimizing with GridSearchCV. It generates recommendations, statistical summaries, and visualizations to improve gym safety and client retention. Logging ensures transparency.

Understanding customer buying patterns and retention behavior.

Esta repositório contém projetos que utilizam SQL para análise de dados. Cada projeto explora conjuntos de dados, realizando consultas para extrair insights, transformar dados e visualizar resultados, demonstrando habilidades em gerenciamento de banco de dados e otimização de consultas.

Developed a machine learning model to accurately predict car ex-showroom prices, providing valuable insights for informed decision-making in the automotive industry.

This repository contains the solution to the business problem that an airline company is facing.

Second Attempt for a project involving the use of algorithms for a business solution, package delivery tracker.

Used SQL to do the data analysis to find the insights in the data to drive business decisions.