Karthik Krishna M's Projects
This project focuses on leveraging machine learning techniques to predict Attention-Deficit/Hyperactivity Disorder (ADHD) in children. Accurate and early diagnosis is crucial for effective intervention and support.
Completed Phase 1 Project: Breast Cancer Prediction at CodersCave as a Data Science Intern. Achieved outstanding results with Logistic Regression (96.49% accuracy), SVM (93.85%), ANN (92.98%), and Random Forest (94.73%). Integrated a user-friendly Flask UI for accessibility, contributing to impactful healthcare solutions.
This repository deals with exploring global terrorism trends analyzing the Global Terrorism Database to uncover temporal patterns, identify top terrorist groups, examine attack types, and gain insights into geographical and success/failure dynamics.
This project empowers data-driven decisions and enhances talent management strategies through insightful analysis of HR data.
This project, conducted during my internship at MeriSKILL, focuses on HR Attrition Prediction using advanced Machine Learning models. The initiative includes the development of a dynamic Dashboard and in-depth Analysis to offer actionable insights for proactive human resource strategies.
This project is an Integrated Career Guidance System, combining data analytics and machine learning. Tailored recommendations empower employees, optimizing skill alignment and fostering organizational agility for success.
The Loan Assistance Project is a valuable resource for individuals and families who are struggling to obtain or repay loans. The project provides a variety of services and support to help people achieve financial stability.
This repository contains a Python script for analyzing Microsoft's stock data. The script covers various aspects such as data preprocessing, principal component analysis (PCA), ARIMA forecasting, and clustering using the K-Means algorithm.
Application to push on GKE as docker for project
The Online Voting Portal project aims to address accessibility, transparency, and convenience issues in voting systems by developing an online platform for voting. Utilizing modern web technologies, the system provides robust user authentication, secure and anonymous voting, and multi-factor authentication for enhanced security.
This repository presents a detailed financial statement analysis of Tata Motors. The analysis covers six years, encompassing balance sheets, profit and loss statements, and cash flow statements. The key findings and insights are documented in an analysis report, and financial ratios are calculated and available for further examination
This repository hosts an interactive Power BI dashboard that delves into the illustrious career of Virat Kohli, one of cricket's modern legends, through the lens of his international centuries. From the first ton to the latest, explore a comprehensive visual representation of his batting milestones across Test, ODI, and T20 formats.