This repository contains valuable insights and visualizations derived from an extensive HR dataset spanning from 2000 to 2020, with over 22,000 rows.

The Road_Traffic_Severity repository is a comprehensive and sophisticated solution for analyzing and predicting the severity of road traffic incidents. It is designed to aid traffic management authorities, transportation planners, and researchers in understanding the factors contributing to road accidents and estimating their potential impact.

I explore and analyze the complex landscape of international debt, aiming to gain insights into the debt trends and their impact on economies worldwide.

This repository contains the code and resources for predicting the duration of bike trips in Seoul, South Korea. Whether you're a data enthusiast, a bike-sharing enthusiast, or simply curious about predicting bike trip durations, this project has something for you.

This project focuses on the classification of plant seedlings using deep learning techniques. The goal is to develop a model that can accurately identify different types of plant species or determine the health status of seedlings based on input images.

The Insurance Claims Fraud Detection project is aimed at developing a robust and efficient system to identify fraudulent insurance claims

Repository is designed to help you strengthen your SQL query skills by providing a collection of common and interview-based SQL queries for practice.

The Racoon Detection project focuses on using object detection techniques to identify and locate raccoons in images.

This project aims to analyze the historical trends of Netflix stock prices using Python and data analysis techniques.

Building a sales forecasting model that predicts future sales for each Rossmann store. By leveraging historical sales data, store-specific information, and external factors

Classifying whether the given event was a signal or a background noise in the process of decay for Higgs particle acceleration.

Getting a rapid understanding of the context of a patient’s overall health has been particularly important during the COVID-19 pandemic as healthcare workers around the world struggle with hospitals

In this project, I am analyzing hiring process data to gain insights from about records of previous hires within a multinational company. By analyzing this data, I am aiming to uncover valuable trends and information about the company's hiring process, which can contribute to making informed decisions and improvements for the future.

The primary goal of the Customer Lifetime Value Project is to develop a robust framework for predicting the potential value that a customer will generate over the course of their relationship with the business. By analyzing historical customer data and behavior, the project aims to create models that can forecast the expected revenue

This project endeavors to create a recommendation system that suggests products to users based on their historical interactions and preferences.

This project aims to develop machine learning models to forecast PM2.5 levels in the Jeongnim-Dong area from 2018 to 2022.

This project predicts the sales demand for various items in different stores based on historical sales data. The objective is to develop a machine learning model that can provide accurate forecasts for future sales of each store-item combination.

This project, I am constructing a predictive model that can prognosticate gold prices using historical price data and pertinent financial indicators.

This project is to develop a robust model capable of accurately predicting energy consumption in buildings. This endeavor involves harnessing historical energy usage data in conjunction with diverse weather and environmental variables to construct an effective predictive model.

This project aims to leverage a diverse dataset encompassing economic indicators, demographic factors, and credit history to establish a predictive model. By establishing appropriate loan limits, financial institutions can enhance risk management, ensure responsible lending, and promote financial inclusivity.