Exploratory Data Analysis - Global Terrorism

Global - Terrorism Exploratory Data Analysis (EDA) in the context of global terrorism involves utilizing data-driven techniques to gain insights and understanding into patterns, trends, and characteristics of terrorist activities worldwide.

Portuguese Bank Prediction

The project focuses on optimizing direct phone call marketing campaigns for term deposits in a leading Portuguese bank. Analyzing data from May 2008 to November 2010, the goal is to enhance campaign effectiveness through predictive modeling and feature engineering.

Covid 2019 Case Prediction

Develop a predictive model for COVID-19 using daily updates from the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. The goal is to forecast COVID-19 trends based on this data, focusing on daily changes rather than cumulative totals.

Handwritten-Digits-Recognition

This project leverages Convolutional Neural Networks (CNNs), a deep learning algorithm specifically designed for image recognition tasks. CNNs excel at capturing spatial hierarchies and patterns within images, making them highly effective for handwritten digit recognition.