A machine learning engineer leverages programming and statistical expertise to design, implement, and deploy predictive models. They bridge the gap between data science theory and practical applications, solving real-world problems through innovative machine learning solutions.

Prodigy Infotech Internship

Prodigy-Infotech-CyberSecurity-Internship-Solutions

This repository contains all the tasks given by Prodigy Infotech during my internship as a web developer intern.

Weather Forecasting Application: This is preview of the project. You can visit live preview on-

Task 1 of the Prodigy infotech Data science internship

ProDigy InfoTech Internship

This is preview of the project. You can visit live preview on:

Task 2 of the Prodigy infotech Data science internship

These projects as a part of my Data Science internship involve data visualisation, analysis, & prediction using various datasets and machine learning techniques. They utilize libraries like pandas, matplotlib, seaborn, scikit-learn, and NLTK for tasks ranging from gender and age visualisation to sentiment analysis and decision tree classification.

# PRODIGY_WD_01 Responsive Landing Page - Plant-X - Responsive Plant-Based Landing Page, for a plant-based website, designed and built using HTML, CSS, and JavaScript. This webpage is optimized for various devices and features an interactive navigation menu that changes color when scrolled or hovered over it.

🚀 House Price Prediction Project 🏡 Developed at Prodigy Infotech: Predicting house prices using linear regression on square footage, bedrooms, and bathrooms. Tech Stack: Python, Pandas, Scikit-learn, Matplotlib. Dataset: Kaggle House Prices.

Prodigy InfoTech Cyber-Security Internship Task#2

Task 4 of the Prodigy infotech Data science internship

🎮 Tic-Tac-Toe Game ✨ - Built during my Prodigy Infotech internship, this React.js project features an interactive UI for a classic two-player Tic-Tac-Toe game. 🏆 Enjoy real-time winner detection and a seamless user experience using React.js, JavaScript, HTML, and CSS. 🎲👨‍💻

Task 5 of the Prodigy InfoTech ML internship which involves Developing a model that can accurately recognize food items from images and estimate their calorie content enabling users to track their dietary intake and make informed food choices

Task2- EDA with Titanic dataset

simple stopwatch ⏲️ application built using React ⚛️ and styled with Tailwind CSS 🎨. Features include start ▶️, stop ⏹️, resume ▶️, and restart 🔄 functionality with real-time updates. Perfect for learning React state management and Tailwind CSS styling.

Task 4 of the Prodigy InfoTech ML internship which involves Developing a hand gesture recognition model that can accurately identify and classify different had gestures from image or video data enabling intuitive human-compute interaction and gesture-based control systems.

Prodigy InfoTech Cyber-Security Internship Task#3