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-CyberSecurity-Internship-Solutions

Prodigy Infotech Internship

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

Task 1 of the Prodigy infotech Data science internship

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

Task 2 of the Prodigy infotech Data science internship

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

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.

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

🚀 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.

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. 🎲👨‍💻

Task2- EDA with Titanic dataset

Network Packet Analyzer (Prodigy-Infotech-Cyber-Security-Internship-Task-Code )

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.

🛒 Customer Segmentation Project ✨ - Developed during my internship at Prodigy Infotech, this project uses KMeans clustering to segment supermarket customers based on ID, age, gender, income, and spending score. The goal is to identify target customers for better marketing strategies. 📊👨‍💻

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 InfoTech Cyber-Security Internship Task#5